105 AI jobs in Coimbatore
Data Science Intern
Posted today
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Job Description
About the Company
ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
About the Role
As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.
Responsibilities
- Conduct data cleaning, wrangling, and pre-processing for financial datasets.
- Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
- Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
- Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
- Use either one – Python, Excel or R to analyse, visualize, and model financial data.
- Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.
Who Should Apply?
- Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
- Strong problem-solving and analytical skills.
- Able to self-learn and work independently in a remote, flexible environment.
Internship Details
- Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
- Timing: Self-paced.
- Type: Unpaid
Data Science Analyst
Posted today
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Job Description
Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.
What You’ll Do
- Analyze complex datasets to uncover trends, patterns, and actionable insights.
- Develop predictive models and statistical analyses to support business strategies.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Build dashboards and visualizations to communicate findings effectively to stakeholders.
- Stay ahead of data trends and implement best practices in analytics and machine learning.
What We’re Looking For
- Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Strong programming skills in Python, R, or SQL.
- Experience with data visualization tools (Tableau, Power BI, etc.).
- Solid understanding of machine learning algorithms and statistical methods.
- Excellent problem-solving and communication skills.
- A curious mindset with a passion for exploring data.
Why Join Us?
- Opportunity to work on exciting, high-impact projects.
- Collaborative and supportive work environment.
- Resources for professional development and growth.
- A chance to shape the future of data-driven decision-making.
Data Science Intern
Posted today
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Job Description
NLP Data Science Intern
Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you’ve heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life.
Our vision is to advance society’s capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data.
Our Story
In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - Covid19foodsupply.com. A core team of 9 was formed and spun off into a startup and the rest is history.
Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.
Social Impact:
Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc.
Our Culture :
Idea Meritocracy:
The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged.
Drivers Not Passengers:
We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.
We Figure Out The Answers:
We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic.
Customer & Mission Obsessed:
Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.
Learning and growth
We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more.
Job Description:
As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines.
- Write code for the development of our ML engines and micro-services pipelines.
- use, optimize, train, and evaluate state-of-the-art GPT models.
- research and Develop Agentic pipelines using LLM's.
- research and develop RAG based pipeline using vector DB's .
Essential Requirements:
- prompt engineering and Agentic LLm frameworks like langchain/llama index
- good enough undersanding of vectors/tensors and RAG pipelines
- Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
- In-depth knowledge of DSA, async, python, and containers.
- Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.
Salary Range: ₹15000 - ₹25000
We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.
Data Science Analyst
Posted today
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Job Description
Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.
What You’ll Do
- Analyze complex datasets to uncover trends, patterns, and actionable insights.
- Develop predictive models and statistical analyses to support business strategies.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Build dashboards and visualizations to communicate findings effectively to stakeholders.
- Stay ahead of data trends and implement best practices in analytics and machine learning.
What We’re Looking For
- Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Strong programming skills in Python, R, or SQL.
- Experience with data visualization tools (Tableau, Power BI, etc.).
- Solid understanding of machine learning algorithms and statistical methods.
- Excellent problem-solving and communication skills.
- A curious mindset with a passion for exploring data.
Why Join Us?
- Opportunity to work on exciting, high-impact projects.
- Collaborative and supportive work environment.
- Resources for professional development and growth.
- A chance to shape the future of data-driven decision-making.
Data Science Intern
Posted today
Job Viewed
Job Description
About Accredian:
Accredian is a fast growing edtech company that was started in 2018 by ISB MBAs. The company has so far served 18,000+ professionals working in almost 3000 companies. Accredian arms working professionals with next generation skills like Data Science, Digital Transformation, Business Management, Product management in partnership with top tier institutions like IITs, IIMs, XLRI and provides them a transformative learning experience to help them move up in their careers.
The Role:
We are looking for Data Science Researchers to help us build a great platform where individuals can learn and upskill in Data Science with ease. Your ultimate goal will be to improve our outreach, student experience, and developing content that can be leveraged in regular sessions. Your responsibilities will include:
● Write high-quality articles on next-generation technologies like Data Science, Machine Learning & AI - drive traffic to the website, build/engage an audience, and build brand authority.
● Design, curate and publish the highest quality experiential content for Data Science & AI audiences. This includes creating experiences, text, videos and interactive activities.
● Excellent communication skills to talk business in terms of data science, machine learning, and AI.
● Defining and leading our strategy in making data science easy and accessible to all.
● Develop electronic and web communication to support company publications and information dissemination.
● Research and collect information for books, guides, and webinars full of industry insights.
● Create web content including research reports, blog articles & build content assets that will drive conversions.
● Help develop and execute content planning in line with business objectives and priorities.
● Work with the team to create stories with the data using visualization tools/methods.
● Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
● Be flexible to upgrade your knowledge in a short time frame.
● Have a startup attitude - ‘Getting things done’.
What you’ll need?
Technical skills: High-level understanding of Python and R programming languages.
● Flair for writing & creating exceptional content.
● Ability to clearly articulate & structure ideas in articles, research reports & blogs.
● Ability to create basic models to pull insights from data.
Education & Experience:
● Bachelor's or Master's degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
● 0-1 year experience
Data Science Architect
Posted today
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Job Description
Data Science Architect- Python & AI/ML
About Us:
Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals.
Key Responsibilities
· Design and architect complex Generative AI solutions using AWS technologies
· Develop advanced AI architectures incorporating state-of-the-art GenAI technologies
· Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions
· Architect scalable AI systems using AWS Bedrock and SageMaker
· Design and implement agentic AI systems with advanced reasoning capabilities
· Develop custom AI solutions leveraging vector databases and advanced machine learning techniques
· Evaluate and integrate emerging GenAI technologies and methodologies
Technical Expertise Requirements
Generative AI Technologies
· Expert-level understanding of:
o Retrieval Augmented Generation (RAG)
o GraphRAG methodologies
o LoRA (Low-Rank Adaptation) techniques
o Vector Database architectures
o Agentic AI design principles
AWS AI Services
· Comprehensive expertise in:
o AWS Bedrock
o Amazon SageMaker
o AWS AI/ML services ecosystem
o Cloud-native AI solution design
Technical Skills
· Advanced Python programming for AI/ML applications
· Deep understanding of:
o Large Language Models (LLMs)
o Machine Learning architectures
o AI model fine-tuning techniques
o Prompt engineering
o AI system design and integration
Core Competencies
· Advanced AI solution architecture
· Machine learning model optimization
· Cloud-native AI system design
· Performance tuning of GenAI solutions
· Enterprise AI strategy development
Technical Stack
· Programming Languages: Python (required)
· Cloud Platform: AWS
· AI Technologies:
o Bedrock
o SageMaker
o Vector Databases
· Machine Learning Frameworks:
o PyTorch
o TensorFlow
o Hugging Face
· AI Integration Tools:
o LangChain
o LlamaIndex
We Offer:
- Opportunity to work on impactful technical challenges with global reach.
- Vast opportunities for self-development, including online university access and knowledge sharing opportunities.
- Sponsored Tech Talks& Hackathons to foster innovation and learning.
- Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.
- Supportive work environment with forums to explore passionsbeyond work.
This role presentsa unique opportunity to contribute to the futureof impactful business solutions while advancing your career in a collaborative and innovative environment.
Data Science Manager
Posted today
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Job Description
Job Title: Manager – AI & Data Science Location: India (Remote/Hybrid) Reports To: Director – AI & Data Science / Engagement Lead
About the Role We are seeking a skilled and proactive Manager – AI & Data Science to lead day-to-day delivery, innovation, and client engagement for our AI-driven marketing measurement and optimization programs (including MMO and IMT/ MIO). The role requires a hands-on leader who can manage a high-performing team, ensure flawless execution, and contribute to ongoing enhancement of AI/ML solutions that drive value for our clients and their partners.
Key Responsibilities
- Project Leadership: Oversee delivery of AI/ML solutions, including Media Mix Optimization (MMO), Intelligent Media Targeting (IMT/MIO), and related marketing analytics initiatives.
- Client Engagement: Act as the primary point of contact for operational matters, collaborating closely with client stakeholders, media teams, and partner agencies.
- Solution Delivery: Ensure on-time, high-quality delivery of models, insights, and tools; manage model development, testing, deployment, and monitoring.
- Team Management: Lead and mentor a team of data scientists and analysts, fostering a culture of excellence, innovation, and accountability.
- Operational Excellence: Drive process improvements, documentation, and adoption of best practices across MLOps, data engineering, and analytics workflows.
- Innovation: Support the evolution of the company's AI product suite, contributing ideas and driving proof-of-concept initiatives (e.g., agentic AI, automation modules).
Required Qualifications
- Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field.
- 8-10 years of experience in AI/ML, data science, or advanced analytics, including 3+ years in a managerial or technical leadership role.
- Demonstrated experience delivering AI/ML solutions in marketing analytics, media measurement, or optimization domains.
- Strong proficiency in machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) and data tools (e.g., SQL, Python, Spark).
- Exposure to MLOps principles, cloud platforms (e.g., Azure, GCP), and model deployment best practices.
- Excellent communication skills and ability to engage effectively with both technical and non-technical stakeholders.
Preferred Skills
- Experience with media mix modeling (MMM), attribution models, or marketing effectiveness solutions.
- Understanding of ad platforms (e.g., Google, Meta, DV360) and integration of AI insights into media planning.
- Familiarity with Generative AI / LLM applications (nice to have).
- Prior exposure to working with global clients in a complex stakeholder environment.
Why Join Us
- Opportunity to lead high-impact AI initiatives for a global industry leader.
- Work with cutting-edge tools and solutions in a highly collaborative, innovative environment.
- Grow your career through mentorship, learning, and exposure to enterprise-scale AI products.
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Data Science Analyst
Posted 3 days ago
Job Viewed
Job Description
Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.
What You’ll Do
- Analyze complex datasets to uncover trends, patterns, and actionable insights.
- Develop predictive models and statistical analyses to support business strategies.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Build dashboards and visualizations to communicate findings effectively to stakeholders.
- Stay ahead of data trends and implement best practices in analytics and machine learning.
What We’re Looking For
- Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Strong programming skills in Python, R, or SQL.
- Experience with data visualization tools (Tableau, Power BI, etc.).
- Solid understanding of machine learning algorithms and statistical methods.
- Excellent problem-solving and communication skills.
- A curious mindset with a passion for exploring data.
Why Join Us?
- Opportunity to work on exciting, high-impact projects.
- Collaborative and supportive work environment.
- Resources for professional development and growth.
- A chance to shape the future of data-driven decision-making.
Data Science Manager
Posted 3 days ago
Job Viewed
Job Description
Role: Data Science Manager
Experience: 8-11 years (with at least 2 years managing a technical team)
Location: Bengaluru/ Remote within India
Compensation: 38-40 LPA Based on experience
Role Overview:
We are seeking an experienced Data Science Manager to lead and grow our data science function, driving cutting-edge machine learning initiatives that power Rocket Learning’s education platform. The ideal candidate will bring strong hands-on experience in deep learning and MLOps, along with demonstrated leadership in managing technical teams. This role will be instrumental in scaling our generative AI and predictive modeling capabilities, supporting impactful interventions across our programs and communities.
Key Areas of Responsibility
Team Leadership and Management
- Lead and mentor a team of data scientists, fostering a culture of collaboration, innovation, and accountability.
- Provide day-to-day technical guidance, career development, and performance feedback to team members.
- Take full ownership of the mentorship and management of the data science team.
Machine Learning and AI Innovation
- Design and implement scalable ML/DL models to support program delivery and engagement.
- Build and manage infrastructure to serve predictions at scale , ensuring reliability and performance.
- Drive adoption of generative modeling and large language model (LLM) use cases relevant to education.
MLOps and Deployment
- Collaborate with engineering and product teams to deploy ML models using FastAPI, Docker, Kubernetes .
- Own and improve CI/CD pipelines for model development and deployment.
- Ensure model performance monitoring and retraining workflows are in place
Strategic Collaboration
- Work with analytics, product, and engineering to identify high-leverage ML opportunities.
- Stay ahead of emerging AI trends and translate them into actionable innovations for the organization.
Responsibilities in Detail
- Develop and refine machine learning models for real-time and batch prediction.
- Implement deep learning solutions using frameworks like PyTorch or TensorFlow .
- Fine-tune and evaluate large language models for use in community engagement, content generation, and personalization.
- Optimize model deployment pipelines to ensure low latency and high throughput.
- Integrate ML solutions into our product and data infrastructure.
- Maintain strong documentation, reproducibility, and experiment tracking.
- Champion ethical and inclusive AI practices in educational applications
Critical Success Factors
Technical Expertise:
- Strong understanding of machine learning, deep learning, and generative AI concepts .
- Proven experience with PyTorch or TensorFlow for model development.
- Hands-on experience with FastAPI , Docker , and Kubernetes for model deployment.
- Familiarity with MLOps , CI/CD, and infrastructure for scaling AI systems.
- Experience with LLM fine-tuning and model serving at scale.
- Strategic Thinking:
- Ability to translate organizational needs into practical AI solutions.
- Strong judgment around trade-offs between accuracy, interpretability, and scalability.
- Collaboration Skills:
- Excellent communication skills to work with technical and non-technical stakeholders.
- Comfort working in a fast-paced, mission-driven, and agile environment.
Data Science Intern
Posted 3 days ago
Job Viewed
Job Description
About Accredian:
Accredian is a fast growing edtech company that was started in 2018 by ISB MBAs. The company has so far served 18,000+ professionals working in almost 3000 companies. Accredian arms working professionals with next generation skills like Data Science, Digital Transformation, Business Management, Product management in partnership with top tier institutions like IITs, IIMs, XLRI and provides them a transformative learning experience to help them move up in their careers.
The Role:
We are looking for Data Science Researchers to help us build a great platform where individuals can learn and upskill in Data Science with ease. Your ultimate goal will be to improve our outreach, student experience, and developing content that can be leveraged in regular sessions. Your responsibilities will include:
● Write high-quality articles on next-generation technologies like Data Science, Machine Learning & AI - drive traffic to the website, build/engage an audience, and build brand authority.
● Design, curate and publish the highest quality experiential content for Data Science & AI audiences. This includes creating experiences, text, videos and interactive activities.
● Excellent communication skills to talk business in terms of data science, machine learning, and AI.
● Defining and leading our strategy in making data science easy and accessible to all.
● Develop electronic and web communication to support company publications and information dissemination.
● Research and collect information for books, guides, and webinars full of industry insights.
● Create web content including research reports, blog articles & build content assets that will drive conversions.
● Help develop and execute content planning in line with business objectives and priorities.
● Work with the team to create stories with the data using visualization tools/methods.
● Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
● Be flexible to upgrade your knowledge in a short time frame.
● Have a startup attitude - ‘Getting things done’.
What you’ll need?
Technical skills: High-level understanding of Python and R programming languages.
● Flair for writing & creating exceptional content.
● Ability to clearly articulate & structure ideas in articles, research reports & blogs.
● Ability to create basic models to pull insights from data.
Education & Experience:
● Bachelor's or Master's degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
● 0-1 year experience