12,712 Staff Data Scientist jobs in India

Job Description

• Conduct product assortment analysis, identify trends and patterns in category performance, and support new product launches.
  

• Utilize data and visualization techniques to provide actionable insights for store teams, territory, and district managers.
  

• Design and test campaign effectiveness, analyze cross-sell and up-sell opportunities, and perform Market Basket Analysis.
  

• Analyze loyalty and customer data to design direct marketing campaigns and measure their effectiveness.
  

• Translate complex data insights into understandable and actionable information for non-technical and business teams.
  

Requirements

• Proven experience as a Data Scientist or similar role.
  

• Strong knowledge of data analysis, statistics, and machine learning.
  

• Proficiency in data science tools and programming languages such as Python, SQL,Good in ML as well as Business understanding etc.
  
• Prior experience in CRM, Loyalty, Customer or Retail/CPG Analytics
  

• Familiarity with:
  

• Supervised and unsupervised learning techniques
  

• Deep learning and reinforcement learning
  

• Evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI
  

• Category/Product Analytics,Store Analytics,Marketing and Promotion Analytics,Customer Analytics
  

• Expertise in visualization tools such as Power BI, Spot fire, or similar.
  

• Excellent storytelling skills to explain complex data to non-technical/business teams
  

• Experience in analytics, preferably within Retail, CPG, or E-commerce domains.
  

• Excellent communication and collaboration skills with the ability to work effectively in a team environment.
  

Benefits

• Competitive salary and performance-based bonuses.
  

• Comprehensive insurance plans.
  

• Collaborative and supportive work environment.
  

• Chance to learn and grow with a talented team.
  

• A positive and fun work environment.
  

Requirements
Analysis of both high-level and granular (category and/or product specific) business trends Experience in data processing, data analysis, and automation. Strong proficiency in Excel/Sheets, SQL, and data visualization tools. Experience in Python or R language. Exposure to using Hive or Presto for data processing. Ability to analyze complex datasets and provide actionable insights. Strong communication skills and experience in documenting and presenting data findings.

**Introduction**
IBM CIO Technology Platform Transformation
The IBM CIO Technology Platform Transformation team plays a crucial role in modernizing and optimizing IBM's technology infrastructure and platforms. The team aims to power AI-enabled experiences through AI-first technology platforms that enable and streamline existing processes, enhance security, and improve user experience by leveraging cutting-edge technologies such as artificial intelligence, machine learning, and cloud computing.
As part of IBM's CIO TPT team, we will contribute to transformative projects that redefine enterprise operations using AI. We will directly influence productivity, user experience, and strategic decision-making across IBM.
Some of the key responsibilities of this group include:
* Driving the adoption of emerging technologies to optimize and automate various business functions, keeping an AI-first approach with a digital experience.
* Enable best in class IT with enhanced cybersecurity measures to protect sensitive information and maintain regulatory compliance.
* Modernizing legacy systems and integrating disparate applications to improve interoperability and reduce technical debt.
* Collaborating with other departments and teams to align technology efforts with broader corporate objectives.
* Providing guidance and expertise on technology trends, best practices, and standards.
This team comprises professionals with diverse backgrounds in software engineering, data science, network architecture, and security. By fostering a culture of innovation and continuous improvement, the team strives to achieve its mission of making IBM the most productive company in the world.
**Your role and responsibilities**
Role Overview:
As an AI Engineer/SW Developer, you will be in a unique position to combine your strategic thinking with your technical skills in AI, machine learning, and data analytics. You will apply your skills to help implement data-driven solutions that align with business goals. You will steer enterprise projects that improve decision-making, solve complex problems, and drive business growth. This role involves working with team members and stakeholders to translate data insights into actionable recommendations that deliver meaningful business impact. 
Key Responsibilities:
1. Implement AI, Data Science, and Technical Execution:
* Support the design, implementation and optimization of AI-driven strategies per business stakeholder requirements.
* Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights.
* Apply GenAI, traditional AI, ML, NLP, computer vision, or predictive analytics where applicable.
* Collect, clean, and preprocess structured and unstructured datasets.
* Help refine data-driven methodologies for transformation projects.
* Learn and utilize cloud platforms to ensure the scalability of AI solutions.
* Leverage reusable assets and apply IBM standards for data science and development.
* Apply ML Ops and AI ethics.
2. Strategic Planning & Execution
* Translate business requirements into technical strategies.
* Ensure alignment to stakeholders' strategic direction and tactical needs.
* Apply business acumen to analyze business problems and develop solutions.
* Collaborate with stakeholders and team to prioritize work.
3. Project Management and Delivering Business Outcomes:
* Manage and contribute to various stages of AI and data science projects, from data exploration to model development to solution implementation and deployment.
* Use agile strategies to manage and execute work.
* Monitor project timelines and help resolve technical challenges.
* Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.
4. Communication and Collaboration:
* Communicate regularly and present findings to collaborators and stakeholders, including technical and non-technical audiences.
* Create compelling data visualizations and dashboards.
* Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
**Required technical and professional expertise**
Experience:
Hands-on Experience with AI/ML technologies and statistical modelling through coursework, projects, or past internships or full-time positions. Participation in AI/Data-related summits will be an added advantage ( eg. Kaggle/Hackathons)
* Experience with prompt engineering or fine-tuning LLMs.
* Familiarity with tools like Lang Chain, Hugging Face Transformers, or OpenAI APIs.
* Understanding of model evaluation metrics specific to LLMs
Technical Skills:
* Proficiency in SQL and Python for performing data analysis and developing machine learning models.
* Experience and/or coursework in statistics, machine learning, generative and traditional AI.
* Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch.
* Familiarity with cloud-based platforms and data processing frameworks.
* Understanding of large language models (LLMs).
* Familiarity with object-oriented programming.
* Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
* Knowledge of APIs, Docker, Flask, or model serving technologies
* Experience with tools like Jupyter, Git, or cloud platforms (AWS, Azure, IBM Cloud)
Strategic and Analytical Skills:
* Strategic thinking and business acumen.
* Strong problem-solving abilities and eagerness to learn.
* Ability to work with datasets and derive insights.
* Attention to detail.
Communications and Soft Skills:
* Excellent communication skills, with the ability to explain technical concepts clearly.
* Independent and team oriented.
* Understands AI Ethics principles.
* Works openly and inclusively.
* Adaptable to fast-paced environments.
* Enthusiasm for learning and applying new technologies.
* Growth mindset.
* Ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment.
IBM 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, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Data Scientist
Date: Apr 29, 2025
Req ID: 100111
Location:
Pune, MH, IN
Workplace Type: Hybrid/Remote
Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution.
AGCO is looking to hire candidates for the position of **Data Scientist**
**Your Impact**
+ Data Management and Analysis: Extract, clean, and analyze large datasets from diverse sources, including telemetry data, test fleet data, and test bench data, to support engineering and AI applications in the agricultural machinery domain.
+ Insight Generation: Identify patterns, trends, and correlations in data to derive actionable insights that inform product development, parts design, specifications, and operational decisions.
+ Cross-Functional Collaboration: Work closely with cross-functional teams to drive data-driven decision-making and foster innovative solutions that enhance engineering efficiency, improve product quality, and enable the development of new, data-driven solutions for product usage.
+ Model Development and Refinement: Continuously develop, evaluate, and refine analytical models and methods to ensure their accuracy, scalability, and relevance to business needs.
+ Machine Learning Applications: Develop machine learning models to predict maintenance needs, optimize machine settings, analyze customer usage patterns, and enhance overall product performance.
**Your Experience and Qualifications**
+ 3+ years of experience working with structured data, including cleaning, manipulating, and data mining. Experience with unstructured data is a plus.
+ Proven experience with at least two of the following: statistical models, machine learning, deep learning (preferably time series or large language models for NLP, topic modeling, or conversational AI). Familiarity with model setup, fine-tuning, evaluation, and deployment.
+ Strong proficiency in Python, SQL, PySpark, and common frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with R is a plus.
+ Experience with cloud-based tools like Apache Spark, Databricks, AWS Glue, and Amazon SageMaker.
+ Strong data visualization skills and experience with BI tools (e.g., Dash, Tableau, Shiny).
**Your Benefits**
+ GLOBAL DIVERSITY - Diversity means many things to us, different brands, cultures, nationalities, genders, generations - even variety in our roles. You make us unique!
+ ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential.
+ POSITIVE IMPACT - Make it personal and help us feed the world.
+ INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence - and work alongside teams of people worldwide who share your enthusiasm.
+ MAKE THE MOST OF YOU - Benefits include health care and wellness plans and flexible and virtual work options.
**Your Workplace**
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.
**Join us as we bring agriculture into the future and apply now!**
Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.
**AGCO is proud to be an Equal Opportunity Employer.**
**Job Segment:** Agronomy, Data Mining, Database, SQL, Scientist, Agriculture, Technology, Science

**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.
Analytical professional who uses statistical methods, machine learning, and programming skills to extract insights and knowledge from data. Their primary goal is to solve complex business problems, make predictions, and drive strategic decision-making by uncovering patterns and trends within large datasets.
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.
**Key Responsibilities:**
+ **Problem Framing:**  Collaborating with stakeholders to understand business problems and translate them into data-driven questions.
+ **Data Collection and Cleaning:**  Sourcing, collecting, and cleaning large, often messy, datasets from various sources, preparing them for analysis.
+ **Model Development:**  Building, training, and validating machine learning models (e.g., regression, classification, clustering, deep learning) to predict outcomes or identify relationships.
+ **Statistical Analysis:**  Applying statistical tests and methodologies to draw robust conclusions from data and quantify uncertainty.
+ **Feature Engineering:**  Creating new variables or transforming existing ones to improve model performance and provide deeper insights.
+ **Model Deployment:**  Working with engineering teams to deploy models into production environments, making them operational for real-time predictions or insights.
+ **Communication and Storytelling:**  Presenting complex findings and recommendations clearly and concisely to both technical and non-technical audiences, often through visualizations and narratives.
+ **Monitoring and Maintenance:**  Tracking model performance in production and updating models as data patterns evolve or new data becomes available.
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**
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 Technical and Professional Expertise
+ 4 - 5 years of experience as an Data Scientist.
+ Experience in Generative AI and Agentic AI.
+ Programming Languages: Strong proficiency in Python and/or R, with libraries for data manipulation (e.g., Pandas, dplyr), scientific computing (e.g., NumPy), and machine learning (e.g., Scikit-learn, TensorFlow, PyTorch).
+ Machine Learning: Deep knowledge of various machine learning algorithms, their underlying principles, and when to apply them.
+ Database Querying: Proficiency in SQL for extracting and manipulating data from relational databases.
+ Data Visualization: Ability to create compelling and informative visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau.
Preferred Technical and Professional Experience
+ Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
**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.

**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.
Analytical professional who uses statistical methods, machine learning, and programming skills to extract insights and knowledge from data. Their primary goal is to solve complex business problems, make predictions, and drive strategic decision-making by uncovering patterns and trends within large datasets.
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.
**Key Responsibilities:**
+ **Problem Framing:**  Collaborating with stakeholders to understand business problems and translate them into data-driven questions.
+ **Data Collection and Cleaning:**  Sourcing, collecting, and cleaning large, often messy, datasets from various sources, preparing them for analysis.
+ **Model Development:**  Building, training, and validating machine learning models (e.g., regression, classification, clustering, deep learning) to predict outcomes or identify relationships.
+ **Statistical Analysis:**  Applying statistical tests and methodologies to draw robust conclusions from data and quantify uncertainty.
+ **Feature Engineering:**  Creating new variables or transforming existing ones to improve model performance and provide deeper insights.
+ **Model Deployment:**  Working with engineering teams to deploy models into production environments, making them operational for real-time predictions or insights.
+ **Communication and Storytelling:**  Presenting complex findings and recommendations clearly and concisely to both technical and non-technical audiences, often through visualizations and narratives.
+ **Monitoring and Maintenance:**  Tracking model performance in production and updating models as data patterns evolve or new data becomes available.
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**
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 Technical and Professional Expertise
+ 4 - 5 years of experience as an Data Scientist.
+ Experience in Generative AI and Agentic AI.
+ Programming Languages: Strong proficiency in Python and/or R, with libraries for data manipulation (e.g., Pandas, dplyr), scientific computing (e.g., NumPy), and machine learning (e.g., Scikit-learn, TensorFlow, PyTorch).
+ Machine Learning: Deep knowledge of various machine learning algorithms, their underlying principles, and when to apply them.
+ Database Querying: Proficiency in SQL for extracting and manipulating data from relational databases.
+ Data Visualization: Ability to create compelling and informative visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau.
Preferred Technical and Professional Experience
+ Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
**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.

We are seeking a Software Engineer to join our
innovative data science & generative AI team. The ideal candidate will
possess a strong technical background in data science, machine learning, and
generative AI, combined with fluency in cloud infrastructure and modern data
engineering best practices. In this role, you'll drive the architecture,
design, and implementation of state-of-the-art data and AI solutions that power
our products and services.
**In this role you will.**
+ Collaboratewith team to design, develop, and deploy robust data science and AIsolutions with a focus on generative AI (GenAI) models and frameworks(e.g., LLMs, diffusion models).
+ Optimizeand cloud-based infrastructure (AWS preferred - Good to have) forscalable, reliable, and secure data processing and model deployment.
+ Developand maintain data pipelines, ETL processes, and model training workflows.
+ Buildand implement CI/CD pipelines for machine learning models and dataapplications (e.g., using Jenkins, GitHub Actions, etc.).
+ Optimizedata storage solutions (e.g., data lakes, SQL/NoSQL databases) forperformance and scalability.
+ Collaboratewith cross-functional teams, including product, engineering, and businessstakeholders, to deliver impactful AI features and insights.
+ Monitormodel and system performance, troubleshoot issues, and continuouslyimprove deployment workflows.
+ Stayabreast of advancements in GenAI, MLOps, data science, and cloudtechnologies, bringing fresh ideas to the team.
+ Contributeto technical documentation and participate in code and design reviews.
**You have got what it takes if youhave.**
+ 2+years of hands-on experience in data science, machine learningengineering, or GenAI engineering roles.Proficiencywith at least one programming language used in data science (Pythonpreferred; experience with Java is a plus).
+ Experiencein developing and deploying machine learning, deep learning, or GenerativeAI models (e.g., LLMs, Transformers, diffusion models).
+ Exposureto AWS services (e.g., S3, EC2, Lambda, SageMaker, RDS) or similar cloudplatforms.
+ Hands-onexperience building CI/CD pipelines (e.g., with Jenkins) for machinelearning and data applications.
+ Solidbackground in SQL and/or NoSQL databases, with experience in data modelingand performance tuning.
+ Strongproblem-solving skills and the ability to think critically and creativelyabout data and AI-driven challenges.
+ Excellentcollaboration and communication skills, with a proven ability to work oncross-functional teams.
**An extra dose of awesome ifyou have.**
+ Familiaritywith front-end frameworks for AI-powered applications (e.g., React,Streamlit, Gradio).
+ Experiencewith containerization (e.g., Docker) and orchestration (e.g.,Kubernetes) for machine learning deployments.
+ Experienceworking in Agile environments.
+ Priorexposure to MLOps tools, MLflow, Airflow, or similar workfloworchestrators.
#LI-Onsite
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at

We are seeking a Software Engineer to join our
innovative data science & generative AI team. The ideal candidate will
possess a strong technical background in data science, machine learning, and
generative AI, combined with fluency in cloud infrastructure and modern data
engineering best practices. In this role, you'll drive the architecture,
design, and implementation of state-of-the-art data and AI solutions that power
our products and services.
**In this role you will.**
+ Collaboratewith team to design, develop, and deploy robust data science and AIsolutions with a focus on generative AI (GenAI) models and frameworks(e.g., LLMs, diffusion models).
+ Optimizeand cloud-based infrastructure (AWS preferred - Good to have) forscalable, reliable, and secure data processing and model deployment.
+ Developand maintain data pipelines, ETL processes, and model training workflows.
+ Buildand implement CI/CD pipelines for machine learning models and dataapplications (e.g., using Jenkins, GitHub Actions, etc.).
+ Optimizedata storage solutions (e.g., data lakes, SQL/NoSQL databases) forperformance and scalability.
+ Collaboratewith cross-functional teams, including product, engineering, and businessstakeholders, to deliver impactful AI features and insights.
+ Monitormodel and system performance, troubleshoot issues, and continuouslyimprove deployment workflows.
+ Stayabreast of advancements in GenAI, MLOps, data science, and cloudtechnologies, bringing fresh ideas to the team.
+ Contributeto technical documentation and participate in code and design reviews.
**You have got what it takes if youhave.**
+ 2+years of hands-on experience in data science, machine learningengineering, or GenAI engineering roles.Proficiencywith at least one programming language used in data science (Pythonpreferred; experience with Java is a plus).
+ Experiencein developing and deploying machine learning, deep learning, or GenerativeAI models (e.g., LLMs, Transformers, diffusion models).
+ Exposureto AWS services (e.g., S3, EC2, Lambda, SageMaker, RDS) or similar cloudplatforms.
+ Hands-onexperience building CI/CD pipelines (e.g., with Jenkins) for machinelearning and data applications.
+ Solidbackground in SQL and/or NoSQL databases, with experience in data modelingand performance tuning.
+ Strongproblem-solving skills and the ability to think critically and creativelyabout data and AI-driven challenges.
+ Excellentcollaboration and communication skills, with a proven ability to work oncross-functional teams.
**An extra dose of awesome ifyou have.**
+ Familiaritywith front-end frameworks for AI-powered applications (e.g., React,Streamlit, Gradio).
+ Experiencewith containerization (e.g., Docker) and orchestration (e.g.,Kubernetes) for machine learning deployments.
+ Experienceworking in Agile environments.
+ Priorexposure to MLOps tools, MLflow, Airflow, or similar workfloworchestrators.
#LI-Onsite
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at

We are seeking a Software Engineer to join our
innovative data science & generative AI team. The ideal candidate will
possess a strong technical background in data science, machine learning, and
generative AI, combined with fluency in cloud infrastructure and modern data
engineering best practices. In this role, you'll drive the architecture,
design, and implementation of state-of-the-art data and AI solutions that power
our products and services.
**In this role you will.**
+ Collaboratewith team to design, develop, and deploy robust data science and AIsolutions with a focus on generative AI (GenAI) models and frameworks(e.g., LLMs, diffusion models).
+ Optimizeand cloud-based infrastructure (AWS preferred - Good to have) forscalable, reliable, and secure data processing and model deployment.
+ Developand maintain data pipelines, ETL processes, and model training workflows.
+ Buildand implement CI/CD pipelines for machine learning models and dataapplications (e.g., using Jenkins, GitHub Actions, etc.).
+ Optimizedata storage solutions (e.g., data lakes, SQL/NoSQL databases) forperformance and scalability.
+ Collaboratewith cross-functional teams, including product, engineering, and businessstakeholders, to deliver impactful AI features and insights.
+ Monitormodel and system performance, troubleshoot issues, and continuouslyimprove deployment workflows.
+ Stayabreast of advancements in GenAI, MLOps, data science, and cloudtechnologies, bringing fresh ideas to the team.
+ Contributeto technical documentation and participate in code and design reviews.
**You have got what it takes if youhave.**
+ 2+years of hands-on experience in data science, machine learningengineering, or GenAI engineering roles.Proficiencywith at least one programming language used in data science (Pythonpreferred; experience with Java is a plus).
+ Experiencein developing and deploying machine learning, deep learning, or GenerativeAI models (e.g., LLMs, Transformers, diffusion models).
+ Exposureto AWS services (e.g., S3, EC2, Lambda, SageMaker, RDS) or similar cloudplatforms.
+ Hands-onexperience building CI/CD pipelines (e.g., with Jenkins) for machinelearning and data applications.
+ Solidbackground in SQL and/or NoSQL databases, with experience in data modelingand performance tuning.
+ Strongproblem-solving skills and the ability to think critically and creativelyabout data and AI-driven challenges.
+ Excellentcollaboration and communication skills, with a proven ability to work oncross-functional teams.
**An extra dose of awesome ifyou have.**
+ Familiaritywith front-end frameworks for AI-powered applications (e.g., React,Streamlit, Gradio).
+ Experiencewith containerization (e.g., Docker) and orchestration (e.g.,Kubernetes) for machine learning deployments.
+ Experienceworking in Agile environments.
+ Priorexposure to MLOps tools, MLflow, Airflow, or similar workfloworchestrators.
#LI-Onsite
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