629 Machine Learning Models jobs in Bangalore
Deep Learning Engineer
Bangalore, Karnataka
AIMonk Labs Private Ltd
Posted today
Job Viewed
Job Description
Job description
A job where you increase the depth of your expertise in computer vision.
A job where you learn and implement the SOTA papers.
A job where you write vectorized code that runs in seconds, not in minutes.
A job where models learn to see and understand the world around them.
A job where models run real-time because you optimize every byte.
A job where you keep the career promises that you made to yourself.
A job where you keep the learning promises that you made to yourself.
If this scares you, don't read. If this excites you, we might love you.
We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.
Key Technologies:
- Must be an expert in Python and Numpy.
- Experience with Tensorflow/Keras/Pytorch is required.
- Unsatiable hunger for writing beautiful code.
- Knowledge of python design-patterns.
- Some experience with C++ is preferred.
- Knowledge working closely with version control (GIT).
- Excellent communication skills and being able to work independently.
- Strong problem-solving and coding skills override everything else written above.
About AIMonk:
Run by IIT Kanpur alumni, AIMonk is a deep tech startup. We build beautiful and scalable software using computer vision and deep learning. We pride ourselves in solving problems nobody else can in the space.
This advertiser has chosen not to accept applicants from your region.
0
Senior AI Research Scientist - Deep Learning
560001 Bangalore, Karnataka
₹1500000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking an exceptionally talented and experienced Senior AI Research Scientist specializing in Deep Learning to join their innovative team in Bengaluru, Karnataka, IN . This role involves pushing the boundaries of artificial intelligence, developing cutting-edge algorithms, and contributing to groundbreaking research projects. You will be instrumental in designing, implementing, and evaluating novel deep learning models for various applications, including natural language processing, computer vision, and reinforcement learning. The ideal candidate will possess a strong academic background, a proven track record of research contributions, and a passion for solving complex problems with AI. You will collaborate closely with a team of world-class researchers and engineers, contributing to both theoretical advancements and practical implementations. Your responsibilities will include conducting literature reviews, developing prototypes, performing rigorous experimentation, and publishing findings in top-tier conferences and journals. We are looking for individuals who can work independently, mentor junior researchers, and translate complex research concepts into tangible solutions. The position requires a deep understanding of machine learning fundamentals, various neural network architectures (CNNs, RNNs, Transformers), and optimization techniques. Experience with major deep learning frameworks such as TensorFlow or PyTorch is essential. You should be adept at data analysis, statistical modeling, and have excellent programming skills in Python. A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is highly preferred. This hybrid role offers the flexibility to work from home a few days a week while maintaining crucial in-person collaboration within our state-of-the-art research facility in Bengaluru, Karnataka, IN . We value creativity, intellectual curiosity, and a commitment to excellence. Join us to shape the future of AI.
Responsibilities:
Responsibilities:
- Conduct research and development in advanced deep learning techniques.
- Design, implement, and deploy novel AI models and algorithms.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Stay abreast of the latest advancements in AI and machine learning research.
- Publish research findings in leading academic venues.
- Mentor junior team members and contribute to a culture of learning.
- Optimize model performance and scalability for real-world applications.
- Ph.D. or Master's degree in Computer Science, AI, ML, or a related field.
- 5+ years of experience in AI research and development, with a focus on deep learning.
- Expertise in Python and deep learning frameworks (TensorFlow, PyTorch).
- Strong publication record in top AI conferences/journals.
- Experience with large-scale data processing and distributed systems.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
This advertiser has chosen not to accept applicants from your region.
1
Principal AI Research Scientist - Deep Learning
560001 Bangalore, Karnataka
₹150000 Annually
WhatJobs
Posted 19 days ago
Job Viewed
Job Description
Join Our client's cutting-edge AI research division as a Principal AI Research Scientist specializing in Deep Learning. This fully remote position is ideal for a visionary leader passionate about pushing the boundaries of artificial intelligence. You will be instrumental in conceiving, developing, and implementing novel deep learning models and algorithms that will shape the future of our technology. Your work will directly impact our product roadmap and strategic initiatives, contributing to groundbreaking advancements in areas such as natural language processing, computer vision, and reinforcement learning. As a Principal Scientist, you will lead research projects from ideation through to proof-of-concept and potential deployment, mentoring junior researchers and collaborating with cross-functional teams. You will be expected to publish research findings in top-tier academic conferences and journals, and actively contribute to the broader AI community.
Responsibilities include:
Qualifications:
This role requires a deep understanding of theoretical foundations and practical implementation of deep learning. We are looking for individuals who are driven by scientific curiosity and a desire to make a significant impact.
Responsibilities include:
- Conducting advanced research in deep learning architectures, training methodologies, and optimization techniques.
- Developing and implementing state-of-the-art AI models for complex real-world problems.
- Leading and mentoring a team of AI researchers and engineers.
- Collaborating with product and engineering teams to translate research breakthroughs into practical applications.
- Staying abreast of the latest advancements in AI and emerging technologies.
- Contributing to the intellectual property portfolio through patents and publications.
- Presenting research findings to internal stakeholders and external audiences.
- Ensuring the ethical and responsible development and deployment of AI systems.
- Designing and executing rigorous experiments to validate research hypotheses.
- Fostering a culture of innovation and scientific excellence within the research group.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 10+ years of relevant research experience in deep learning.
- Proven track record of leading successful research projects and publishing in top venues (NeurIPS, ICML, ICLR, CVPR, ACL, etc.).
- Expertise in one or more areas such as deep reinforcement learning, generative models, transformer networks, or graph neural networks.
- Strong programming skills in Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed training.
- Excellent communication and leadership skills, with the ability to articulate complex technical concepts to diverse audiences.
- Demonstrated ability to mentor and guide junior researchers.
- Experience in building and deploying AI models in production environments is a strong plus.
This role requires a deep understanding of theoretical foundations and practical implementation of deep learning. We are looking for individuals who are driven by scientific curiosity and a desire to make a significant impact.
This advertiser has chosen not to accept applicants from your region.
2
Lead Machine Learning Engineer - Deep Learning Frameworks
560001 Bangalore, Karnataka
₹2800000 Annually
WhatJobs
Posted 15 days ago
Job Viewed
Job Description
Our client is at the forefront of developing cutting-edge AI solutions and is seeking a highly accomplished Lead Machine Learning Engineer with specialized expertise in deep learning frameworks. This fully remote role offers the exciting opportunity to architect, build, and deploy advanced ML models that power innovative products and services. You will lead a team of talented engineers, driving research into production and tackling complex challenges in areas like computer vision, NLP, and reinforcement learning.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of scalable machine learning systems and pipelines.
- Architect and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or JAX.
- Develop and deploy production-ready ML solutions, ensuring reliability, performance, and scalability.
- Collaborate with research scientists to translate novel algorithms and experimental findings into robust engineering implementations.
- Mentor and guide a team of ML engineers, fostering best practices in coding, testing, and deployment.
- Define and implement MLOps strategies for model versioning, monitoring, and continuous integration/deployment.
- Conduct thorough code reviews and provide constructive feedback to team members.
- Optimize model performance for efficiency and effectiveness across various hardware platforms.
- Stay abreast of the latest advancements in machine learning, deep learning, and AI research.
- Contribute to the strategic technical direction of the ML engineering team and the broader organization.
- Troubleshoot and resolve complex technical issues in production ML systems.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in machine learning engineering, with a strong focus on deep learning.
- Proven experience in leading ML projects from research to production.
- Deep expertise in Python and proficiency with core ML libraries (e.g., scikit-learn, pandas, NumPy).
- Extensive hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of MLOps principles and tools (e.g., Docker, Kubernetes, CI/CD, MLflow).
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Excellent problem-solving, analytical, and algorithmic thinking skills.
- Exceptional leadership, communication, and collaboration abilities, critical for a remote-first environment.
- Experience with large-scale data processing and distributed systems.
This advertiser has chosen not to accept applicants from your region.
3
Course Mentor (AI / Computer Vision / Deep Learning)
Bangalore, Karnataka
OpenCV University
Posted today
Job Viewed
Job Description
OpenCV University is looking for Developers obsessed with Research, Experimentation, Teaching, and Knowledge Sharing in the field of Computer Vision, Image Processing, and Deep Learning.
Company Description
OpenCV University is a premier AI education institution offering in-depth and meticulously designed courses on Computer Vision and Deep Learning. We are creating the world's best resources for learning Artificial Intelligence and Computer Vision. Our courses and blogs are used by thousands of users daily. Check out:
Courses:
Blog:
YouTube:
Our Journey
We have come a long way from creating a Computer Vision Course in 2017, when Online Learning was just starting, to a full-fledged Ed-tech offering AI Courses.
We take pride in saying we are a Bootstrapped, profitable platform powered by Big Vision Consulting. Check out our journey on the About Us page:
Mission:
Our Mission is to make OpenCV the No.1 destination for anything related to Computer Vision, for students to learn, for working professionals to upskill, and for Companies to hire talent.
Vision:
OpenCV University's vision is to empower learners across the globe to be a part of a collective AI workforce through our comprehensive courses and an expert team of world-class instructors.
Responsibilities:
This is your opportunity to truly shape one of the most influential disciplines of our time - Artificial Intelligence. We are hiring Computer Vision Engineer professionals with a passion for research and teaching in the field of Computer Vision, Image Processing, and Deep Learning.
Your role will be multifold meaning you will be exposed to a wide variety of work ranging from research to development to deployment to teaching and mentorship. Your responsibilities include:
- Research the latest trends and developments in computer vision technology and techniques and write SEO-compliant blog articles on the latest topics while maintaining the highest quality standards. (For example, currently, we are working on Generative AI and Transformers).
- Work on interesting CV and DL experiments, projects, and applications that become part of the course or deploy applications for demos of blog articles. This also includes creating supporting multimedia content, such as images, videos, and GIFs.
- Designing assessment materials for the courses, such as assignments, projects, and quizzes.
- Mentoring course students in the form of doubt-clearing sessions and career guidance via meetups and forums.
- Working on course updates in the form of checking version changes, corner cases, etc.
Skills required:
- Strong Python programming knowledge (C++ knowledge is a bonus).
- Experience working with computer vision libraries like OpenCV. (TensorFlow, and PyTorch knowledge is a bonus).
- Strong knowledge of deep learning-based computer vision algorithms, classification, segmentation, object detection, key-points detection, etc.
- Knowledge about LLMs, RAGs, VLMs is a plus.
- Knowledge of Other Tools like YOLO, Mediapipe, Android, iOS, FastAPI, Docker, and Kubernetes is a bonus.
- Excellent English speaking and writing skills.
- Candidates with blog posts on computer vision will be preferred.
- Candidates with OpenCV AI course certification will be preferred.
- Strong communication and collaboration skills.
This advertiser has chosen not to accept applicants from your region.
4
Trainee Intern Data Science
560xxx Bangalore
What Digital Technologies Group
Posted 14 days ago
Job Viewed
Job Description
Company Overview – WhatJobs Ltd
WhatJobs is a global job search engine and career platform operating in over 50 countries. We leverage advanced technology and AI-driven tools to connect millions of job seekers with opportunities, helping businesses and individuals achieve their goals.
Position: Data Science Trainee/Intern
Location: Commercial Street
Duration: 3 Months
Type: Internship/Traineeship (with potential for full-time opportunities)
Role Overview
We are looking for enthusiastic Data Science trainees/interns eager to explore the world of data analytics, machine learning, and business insights. You will work on real-world datasets, apply statistical and computational techniques, and contribute to data-driven decision-making at WhatJobs.
Key Responsibilities
- Collect, clean, and analyze datasets to derive meaningful insights.
- Assist in building and evaluating machine learning models.
- Work with visualization tools to present analytical results.
- Support the team in developing data pipelines and automation scripts.
- Research new tools, techniques, and best practices in data science.
Requirements
- Basic knowledge of Python and data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
- Understanding of statistics, probability, and data analysis techniques.
- Familiarity with machine learning concepts.
- Knowledge of Google Data Studio and BigQuery for reporting and data management.
- Strong analytical skills and eagerness to learn.
- Good communication and teamwork abilities.
What We Offer
- Hands-on experience with real-world data science projects.
- Guidance and mentorship from experienced data professionals.
- Opportunity to work with a global technology platform.
- Certificate of completion and potential for full-time role.
Company Details
About What Digital Technologies Pvt Ltd What Digital Technologies Pvt Ltd is one of the world's fastest-growing online job search specialists. Launched in London in 2011, our flagship product WhatJobs attracts millions of job seekers around the world. Every minute of every day, we help our users connect with employers worldwide to find their perfect job.
This advertiser has chosen not to accept applicants from your region.
5
Data Science Analyst
Bellandur, Karnataka
Stanley Black and Decker
Posted today
Job Viewed
Job Description
**Data Science Analyst**
_Remote -_ **_TBD_**
**Empower Those Who Make The World**
At Stanley Black & Decker, we believe in the power of people with purpose, integrity, and a relentless drive for excellence. Join our global team of 53,000+ professionals across 60 countries, making an impact on iconic brands like DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX, and more.
**Your Impact**
As a Data Scientist on our Brand and Product Analytics team, you will:
+ Deliver actionable insights by collecting, mining, and analyzing complex data sets to drive business decisions and growth.
+ Apply data science, machine learning, and artificial intelligence-including emerging Generative AI tools and techniques-to solve real-world business challenges.
+ Stay current with the latest technologies (Gen AI, LLMs, cloud-native analytics) and leverage them to enhance our analytics capabilities.
+ Collaborate with stakeholders to define goals, select KPIs, monitor performance, and identify trends and opportunities.
+ Identify, design, and implement data process improvements, such as automating manual workflows, optimizing data infrastructure for scalability, and enhancing data delivery.
+ Diagnose system deficiencies and recommend practical, effective solutions.
+ Partner with IT and business teams to shape analytics and technology roadmaps aligned with strategic objectives.
+ Champion a data-driven culture, working with analytics and commercial experts to maximize the value of our data assets.
+ Provide robust data foundations for insights across Operations/Supply Chain, Marketing, Finance, Commercial, and more.
**Who You Are**
You are a curious, creative problem solver who thrives in a fast-evolving field. You embrace innovation, adapt quickly, and are passionate about learning new technologies. You bring:
+ **2+ years' experience** in data science, advanced analytics, or a related field
+ **Bachelor's degree in a technical field** such as Computer Science, Statistics, Mathematics, Data Science, Engineering, Machine Learning, or a closely related discipline
+ **Excellent communication skills** (written & spoken), with the ability to explain complex concepts to non-technical audiences
+ **Strong problem-solving abilities** : You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions. You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
+ **Python expertise** : Highly proficient in Python for data analysis, modeling, and automation, with the ability to write clean, efficient, and well-documented code.
+ **SQL proficiency** : Strong skills in SQL for querying, manipulating, and managing large datasets across different database systems.
+ **Good coding skills** : Comfortable with general programming concepts, version control (e.g., Git), and collaborative codebases.
+ **Experience developing and tracking** Sales, Marketing, Finance, and Commercial metrics
+ **Expertise in Financial Modeling, Sensitivity Analysis, and A/B Testing**
+ **Hands-on experience with cloud platforms** (Snowflake, AWS, GCP, Azure) and modern data architectures
+ **Proficiency with Data Mining and ETL tools** (SQL, Python, R, db2, Alteryx, Knime, etc.)
+ **Experience designing and implementing real-time data pipelines** and handling streaming data
+ **Proficiency with data visualization tools** such as Power BI, Tableau, or similar platforms to communicate insights effectively
+ **Familiarity with Generative AI, Large Language Models (LLMs), and their business applications** (you don't need to be an expert, but you should be comfortable using and learning about these technologies)
+ **Experience with Forecasting, Risk Modeling, Product Portfolio Optimization, Market Mix Modeling, LTV Modeling, and Financial Forecasting**
**Nice to Have:**
+ Experience in Manufacturing, CPG, or Retail sales environments
+ Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc.)
+ Experience with MLOps, model deployment, and monitoring in production environments
+ Familiarity with data privacy, security, and responsible AI practices
**What You'll Receive**
+ Competitive salary and comprehensive benefits
+ Opportunities for professional growth and career advancement across our 20+ global brands
+ Access to world-class learning resources, including Lean Academy, Coursera, and our online university
+ A diverse, inclusive, and respectful workplace culture
+ Opportunities to give back through volunteerism and sustainable business practices
**Why Stanley Black & Decker?**
We're more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We're visionaries and Industry 4.0 innovators. Join us and help empower makers, doers, protectors, and everyday heroes all over the world.
All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or any other protected characteristic.
**Data Science Analyst**
_Remote -_ **_TBD_**
**Empower Those Who Make The World**
At Stanley Black & Decker, we believe in the power of people with purpose, integrity, and a relentless drive for excellence. Join our global team of 53,000+ professionals across 60 countries, making an impact on iconic brands like DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX, and more.
**Your Impact**
As a Data Scientist on our Brand and Product Analytics team, you will:
+ Deliver actionable insights by collecting, mining, and analyzing complex data sets to drive business decisions and growth.
+ Apply data science, machine learning, and artificial intelligence-including emerging Generative AI tools and techniques-to solve real-world business challenges.
+ Stay current with the latest technologies (Gen AI, LLMs, cloud-native analytics) and leverage them to enhance our analytics capabilities.
+ Collaborate with stakeholders to define goals, select KPIs, monitor performance, and identify trends and opportunities.
+ Identify, design, and implement data process improvements, such as automating manual workflows, optimizing data infrastructure for scalability, and enhancing data delivery.
+ Diagnose system deficiencies and recommend practical, effective solutions.
+ Partner with IT and business teams to shape analytics and technology roadmaps aligned with strategic objectives.
+ Champion a data-driven culture, working with analytics and commercial experts to maximize the value of our data assets.
+ Provide robust data foundations for insights across Operations/Supply Chain, Marketing, Finance, Commercial, and more.
**Who You Are**
You are a curious, creative problem solver who thrives in a fast-evolving field. You embrace innovation, adapt quickly, and are passionate about learning new technologies. You bring:
+ **2+ years' experience** in data science, advanced analytics, or a related field
+ **Bachelor's degree in a technical field** such as Computer Science, Statistics, Mathematics, Data Science, Engineering, Machine Learning, or a closely related discipline
+ **Excellent communication skills** (written & spoken), with the ability to explain complex concepts to non-technical audiences
+ **Strong problem-solving abilities** : You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions. You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
+ **Python expertise** : Highly proficient in Python for data analysis, modeling, and automation, with the ability to write clean, efficient, and well-documented code.
+ **SQL proficiency** : Strong skills in SQL for querying, manipulating, and managing large datasets across different database systems.
+ **Good coding skills** : Comfortable with general programming concepts, version control (e.g., Git), and collaborative codebases.
+ **Experience developing and tracking** Sales, Marketing, Finance, and Commercial metrics
+ **Expertise in Financial Modeling, Sensitivity Analysis, and A/B Testing**
+ **Hands-on experience with cloud platforms** (Snowflake, AWS, GCP, Azure) and modern data architectures
+ **Proficiency with Data Mining and ETL tools** (SQL, Python, R, db2, Alteryx, Knime, etc.)
+ **Experience designing and implementing real-time data pipelines** and handling streaming data
+ **Proficiency with data visualization tools** such as Power BI, Tableau, or similar platforms to communicate insights effectively
+ **Familiarity with Generative AI, Large Language Models (LLMs), and their business applications** (you don't need to be an expert, but you should be comfortable using and learning about these technologies)
+ **Experience with Forecasting, Risk Modeling, Product Portfolio Optimization, Market Mix Modeling, LTV Modeling, and Financial Forecasting**
**Nice to Have:**
+ Experience in Manufacturing, CPG, or Retail sales environments
+ Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc.)
+ Experience with MLOps, model deployment, and monitoring in production environments
+ Familiarity with data privacy, security, and responsible AI practices
**What You'll Receive**
+ Competitive salary and comprehensive benefits
+ Opportunities for professional growth and career advancement across our 20+ global brands
+ Access to world-class learning resources, including Lean Academy, Coursera, and our online university
+ A diverse, inclusive, and respectful workplace culture
+ Opportunities to give back through volunteerism and sustainable business practices
**Why Stanley Black & Decker?**
We're more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We're visionaries and Industry 4.0 innovators. Join us and help empower makers, doers, protectors, and everyday heroes all over the world.
All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or any other protected characteristic.
**_We Don't Just Build The World, We Build Innovative Technology Too._**
Joining the Stanley Black & Decker team means working in an innovative, tech-driven and highly collaborative team environment supported by over 58,000 professionals in 60 countries across the globe. Here, you'll get the unique chance to impact some of the world's most iconic brands including STANLEY TOOLS, DEWALT, CRAFTSMAN, MAC TOOLS and Black + Decker. Your ideas and solutions have the potential to reach millions of customers as we work together to write the next chapter in our history. Come build with us and take your career to new heights.
**Who We Are**
We're the World's largest tool company. We're industry visionaries. We're solving problems and advancing the manufacturing trade through innovative technology and our Industry 4.0 Initiative. We are committed to ensuring our state-of-the-art "smart factory" products and services provide greater quality to our customers & greater environmental and social value to our planet. We are unique in that we have a rich and storied history dating back to 1843, but that hasn't stopped us from evolving into a vibrant, diverse, global growth company.
**Global Benefits & Perks**
You'll be rewarded with a competitive salary plus receive entitlements and benefits unique to your country of hire.
**What You'll Also Get**
Career Opportunity: Career paths aren't linear here. Being part of our global company with 60+ brands gives you the chance to grow and develop your skills along multiple career paths.
**Learning & Development:**
Our lifelong learning philosophy means you'll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities).
**Diverse & Inclusive Culture:**
We pride ourselves on being an awesome place to work. We respect and embrace differences because that's how the best work gets done. You'll find we like to have fun here, too.
**Purpose-Driven Company:**
You'll help us continue to make positive changes in the local communities where we work and live as well as in the broader world through volunteerism, giving back and sustainable business practices.
_Remote -_ **_TBD_**
**Empower Those Who Make The World**
At Stanley Black & Decker, we believe in the power of people with purpose, integrity, and a relentless drive for excellence. Join our global team of 53,000+ professionals across 60 countries, making an impact on iconic brands like DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX, and more.
**Your Impact**
As a Data Scientist on our Brand and Product Analytics team, you will:
+ Deliver actionable insights by collecting, mining, and analyzing complex data sets to drive business decisions and growth.
+ Apply data science, machine learning, and artificial intelligence-including emerging Generative AI tools and techniques-to solve real-world business challenges.
+ Stay current with the latest technologies (Gen AI, LLMs, cloud-native analytics) and leverage them to enhance our analytics capabilities.
+ Collaborate with stakeholders to define goals, select KPIs, monitor performance, and identify trends and opportunities.
+ Identify, design, and implement data process improvements, such as automating manual workflows, optimizing data infrastructure for scalability, and enhancing data delivery.
+ Diagnose system deficiencies and recommend practical, effective solutions.
+ Partner with IT and business teams to shape analytics and technology roadmaps aligned with strategic objectives.
+ Champion a data-driven culture, working with analytics and commercial experts to maximize the value of our data assets.
+ Provide robust data foundations for insights across Operations/Supply Chain, Marketing, Finance, Commercial, and more.
**Who You Are**
You are a curious, creative problem solver who thrives in a fast-evolving field. You embrace innovation, adapt quickly, and are passionate about learning new technologies. You bring:
+ **2+ years' experience** in data science, advanced analytics, or a related field
+ **Bachelor's degree in a technical field** such as Computer Science, Statistics, Mathematics, Data Science, Engineering, Machine Learning, or a closely related discipline
+ **Excellent communication skills** (written & spoken), with the ability to explain complex concepts to non-technical audiences
+ **Strong problem-solving abilities** : You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions. You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
+ **Python expertise** : Highly proficient in Python for data analysis, modeling, and automation, with the ability to write clean, efficient, and well-documented code.
+ **SQL proficiency** : Strong skills in SQL for querying, manipulating, and managing large datasets across different database systems.
+ **Good coding skills** : Comfortable with general programming concepts, version control (e.g., Git), and collaborative codebases.
+ **Experience developing and tracking** Sales, Marketing, Finance, and Commercial metrics
+ **Expertise in Financial Modeling, Sensitivity Analysis, and A/B Testing**
+ **Hands-on experience with cloud platforms** (Snowflake, AWS, GCP, Azure) and modern data architectures
+ **Proficiency with Data Mining and ETL tools** (SQL, Python, R, db2, Alteryx, Knime, etc.)
+ **Experience designing and implementing real-time data pipelines** and handling streaming data
+ **Proficiency with data visualization tools** such as Power BI, Tableau, or similar platforms to communicate insights effectively
+ **Familiarity with Generative AI, Large Language Models (LLMs), and their business applications** (you don't need to be an expert, but you should be comfortable using and learning about these technologies)
+ **Experience with Forecasting, Risk Modeling, Product Portfolio Optimization, Market Mix Modeling, LTV Modeling, and Financial Forecasting**
**Nice to Have:**
+ Experience in Manufacturing, CPG, or Retail sales environments
+ Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc.)
+ Experience with MLOps, model deployment, and monitoring in production environments
+ Familiarity with data privacy, security, and responsible AI practices
**What You'll Receive**
+ Competitive salary and comprehensive benefits
+ Opportunities for professional growth and career advancement across our 20+ global brands
+ Access to world-class learning resources, including Lean Academy, Coursera, and our online university
+ A diverse, inclusive, and respectful workplace culture
+ Opportunities to give back through volunteerism and sustainable business practices
**Why Stanley Black & Decker?**
We're more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We're visionaries and Industry 4.0 innovators. Join us and help empower makers, doers, protectors, and everyday heroes all over the world.
All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or any other protected characteristic.
**Data Science Analyst**
_Remote -_ **_TBD_**
**Empower Those Who Make The World**
At Stanley Black & Decker, we believe in the power of people with purpose, integrity, and a relentless drive for excellence. Join our global team of 53,000+ professionals across 60 countries, making an impact on iconic brands like DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX, and more.
**Your Impact**
As a Data Scientist on our Brand and Product Analytics team, you will:
+ Deliver actionable insights by collecting, mining, and analyzing complex data sets to drive business decisions and growth.
+ Apply data science, machine learning, and artificial intelligence-including emerging Generative AI tools and techniques-to solve real-world business challenges.
+ Stay current with the latest technologies (Gen AI, LLMs, cloud-native analytics) and leverage them to enhance our analytics capabilities.
+ Collaborate with stakeholders to define goals, select KPIs, monitor performance, and identify trends and opportunities.
+ Identify, design, and implement data process improvements, such as automating manual workflows, optimizing data infrastructure for scalability, and enhancing data delivery.
+ Diagnose system deficiencies and recommend practical, effective solutions.
+ Partner with IT and business teams to shape analytics and technology roadmaps aligned with strategic objectives.
+ Champion a data-driven culture, working with analytics and commercial experts to maximize the value of our data assets.
+ Provide robust data foundations for insights across Operations/Supply Chain, Marketing, Finance, Commercial, and more.
**Who You Are**
You are a curious, creative problem solver who thrives in a fast-evolving field. You embrace innovation, adapt quickly, and are passionate about learning new technologies. You bring:
+ **2+ years' experience** in data science, advanced analytics, or a related field
+ **Bachelor's degree in a technical field** such as Computer Science, Statistics, Mathematics, Data Science, Engineering, Machine Learning, or a closely related discipline
+ **Excellent communication skills** (written & spoken), with the ability to explain complex concepts to non-technical audiences
+ **Strong problem-solving abilities** : You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions. You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
+ **Python expertise** : Highly proficient in Python for data analysis, modeling, and automation, with the ability to write clean, efficient, and well-documented code.
+ **SQL proficiency** : Strong skills in SQL for querying, manipulating, and managing large datasets across different database systems.
+ **Good coding skills** : Comfortable with general programming concepts, version control (e.g., Git), and collaborative codebases.
+ **Experience developing and tracking** Sales, Marketing, Finance, and Commercial metrics
+ **Expertise in Financial Modeling, Sensitivity Analysis, and A/B Testing**
+ **Hands-on experience with cloud platforms** (Snowflake, AWS, GCP, Azure) and modern data architectures
+ **Proficiency with Data Mining and ETL tools** (SQL, Python, R, db2, Alteryx, Knime, etc.)
+ **Experience designing and implementing real-time data pipelines** and handling streaming data
+ **Proficiency with data visualization tools** such as Power BI, Tableau, or similar platforms to communicate insights effectively
+ **Familiarity with Generative AI, Large Language Models (LLMs), and their business applications** (you don't need to be an expert, but you should be comfortable using and learning about these technologies)
+ **Experience with Forecasting, Risk Modeling, Product Portfolio Optimization, Market Mix Modeling, LTV Modeling, and Financial Forecasting**
**Nice to Have:**
+ Experience in Manufacturing, CPG, or Retail sales environments
+ Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc.)
+ Experience with MLOps, model deployment, and monitoring in production environments
+ Familiarity with data privacy, security, and responsible AI practices
**What You'll Receive**
+ Competitive salary and comprehensive benefits
+ Opportunities for professional growth and career advancement across our 20+ global brands
+ Access to world-class learning resources, including Lean Academy, Coursera, and our online university
+ A diverse, inclusive, and respectful workplace culture
+ Opportunities to give back through volunteerism and sustainable business practices
**Why Stanley Black & Decker?**
We're more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We're visionaries and Industry 4.0 innovators. Join us and help empower makers, doers, protectors, and everyday heroes all over the world.
All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or any other protected characteristic.
**_We Don't Just Build The World, We Build Innovative Technology Too._**
Joining the Stanley Black & Decker team means working in an innovative, tech-driven and highly collaborative team environment supported by over 58,000 professionals in 60 countries across the globe. Here, you'll get the unique chance to impact some of the world's most iconic brands including STANLEY TOOLS, DEWALT, CRAFTSMAN, MAC TOOLS and Black + Decker. Your ideas and solutions have the potential to reach millions of customers as we work together to write the next chapter in our history. Come build with us and take your career to new heights.
**Who We Are**
We're the World's largest tool company. We're industry visionaries. We're solving problems and advancing the manufacturing trade through innovative technology and our Industry 4.0 Initiative. We are committed to ensuring our state-of-the-art "smart factory" products and services provide greater quality to our customers & greater environmental and social value to our planet. We are unique in that we have a rich and storied history dating back to 1843, but that hasn't stopped us from evolving into a vibrant, diverse, global growth company.
**Global Benefits & Perks**
You'll be rewarded with a competitive salary plus receive entitlements and benefits unique to your country of hire.
**What You'll Also Get**
Career Opportunity: Career paths aren't linear here. Being part of our global company with 60+ brands gives you the chance to grow and develop your skills along multiple career paths.
**Learning & Development:**
Our lifelong learning philosophy means you'll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities).
**Diverse & Inclusive Culture:**
We pride ourselves on being an awesome place to work. We respect and embrace differences because that's how the best work gets done. You'll find we like to have fun here, too.
**Purpose-Driven Company:**
You'll help us continue to make positive changes in the local communities where we work and live as well as in the broader world through volunteerism, giving back and sustainable business practices.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Machine learning models Jobs in Bangalore !
6
Data Science Manager
Bangalore, Karnataka
Kyndryl
Posted today
Job Viewed
Job Description
**Who We Are**
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-12+ years in IT , Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
-Excellent problem-solving, analytical, and critical thinking skills
-Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
-Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
Preferred Skills and Experience
-Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
-Professional certification, e.g., Open Certified Data Scientist
-Cloud platform certification, e.g., AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
-Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
-Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-12+ years in IT , Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
-Excellent problem-solving, analytical, and critical thinking skills
-Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
-Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
Preferred Skills and Experience
-Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
-Professional certification, e.g., Open Certified Data Scientist
-Cloud platform certification, e.g., AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
-Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
-Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
7
Data Science Apprentice
560001 Bangalore, Karnataka
₹25000 Monthly
WhatJobs
Posted 13 days ago
Job Viewed
Job Description
Our client is looking for an enthusiastic and motivated Data Science Apprentice to join their growing analytics team in Bengaluru, Karnataka, IN . This is an excellent opportunity for individuals passionate about data and eager to kick-start their career in the field of data science. As a Data Science Apprentice, you will work alongside experienced data scientists and analysts, gaining hands-on experience in various aspects of data analysis, model building, and insight generation. You will be involved in collecting, cleaning, and preprocessing large datasets from various sources. Your responsibilities will include assisting in the development and implementation of data models, performing exploratory data analysis (EDA) to uncover trends and patterns, and contributing to the creation of data visualizations and reports. You will learn to use data science tools and programming languages such as Python or R, and gain exposure to machine learning algorithms and statistical techniques. The ideal candidate is a quick learner, possesses strong analytical and problem-solving skills, and has a foundational understanding of statistics and mathematics. Excellent communication skills and a proactive attitude are essential. This apprenticeship offers a structured learning environment with mentorship, providing the knowledge and practical skills necessary to excel in a data science career. Join us to contribute to impactful projects and grow your expertise in a dynamic and supportive setting.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in data collection, cleaning, and transformation processes.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and implementation of data models and machine learning algorithms.
- Create data visualizations and reports to communicate findings.
- Learn and apply statistical and mathematical concepts to data analysis.
- Collaborate with senior data scientists on various projects.
- Assist in the maintenance and improvement of data pipelines.
- Contribute to documentation of data processes and methodologies.
- Participate in team meetings and learning sessions.
- Develop basic proficiency in data analysis tools and programming languages.
Qualifications:
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong interest and passion for data science and analytics.
- Basic understanding of statistics, mathematics, and programming concepts.
- Familiarity with Python or R is a plus.
- Analytical mindset and problem-solving abilities.
- Excellent communication and teamwork skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work effectively in a hybrid work environment.
This advertiser has chosen not to accept applicants from your region.
8
Data Science Mentor
Bangalore, Karnataka
DataMites™
Posted today
Job Viewed
Job Description
Title: Data Science / AI Mentor (Part-time / Freelance) | DataMites®
About DataMites®
DataMites® is India’s leading EdTech company specialising in Artificial Intelligence, Data Science, Machine Learning, and Analytics career programs. Since 2016, we’ve trained over 120,000+ learners globally , empowering professionals to build high-growth tech careers. With a global presence and industry-recognized certifications, DataMites is shaping the next generation of AI and Data Science talent through practical, job-oriented learning.
Role: Data Science / AI Mentor or Trainer
Type: Part-Time / Freelance
Location: Remote (Online) or Classroom (Major cities in India)
What You’ll Do:
- Deliver engaging training sessions on topics such as Python, Machine Learning, Deep Learning, Statistics, AI, and related tools.
- Mentor learners through project-based learning and hands-on exercises.
- Guide students in applying real-world problem-solving techniques using AI and Data Science frameworks.
- Evaluate assignments and provide constructive feedback.
- Stay updated with the latest industry trends and best practices.
Who We’re Looking For:
- Professionals or educators with strong expertise in Data Science, AI, or Machine Learning.
- Proficiency in Python, NumPy, Pandas, Scikit-learn, and related ML libraries.
- Experience in training, mentoring, or delivering technical sessions (preferred).
- Strong communication skills and a passion for teaching.
- Freelancers, working professionals, or PhD/MTech candidates in AI/Data Science are welcome.
Why Join DataMites ®:
- Be part of India’s fastest-growing AI & Data Science education movement.
- Flexible engagement—teach part-time or on weekends.
- Opportunity to inspire thousands of learners globally.
- Work with a passionate academic and industry-driven team.
If you’re passionate about sharing knowledge and shaping the next generation of AI talent, we’d love to hear from you.
This advertiser has chosen not to accept applicants from your region.
9