12,677 Senior Data Scientist jobs in India

Data Scientist
Date: Aug 27, 2025
Req ID:
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

**Data Scientist - Compliance & Internal Audit Support (Hyderabad, India)**
**Overview**
We are seeking a highly motivated Data Scientist to join our Corporate Audit and Worldwide Compliance & Business Ethics teams in Hyderabad, India. This role is ideal for a self-starter who thrives on continuous improvement, innovation, and applying advanced analytics to strengthen compliance and audit capabilities. The Data Scientist will leverage both proven technologies and emerging tools - including generative and agentic AI - to deliver impactful insights that drive ethical, compliant, and efficient business operations.
**Key Responsibilities**
**· Apply advanced analytics, statistical modeling, and machine learning to produce actionable insights that support compliance monitoring, auditing, and risk assessment.**
· Develop scalable, automated data products and pipelines to improve audit and compliance processes. Stay current with new advances in AI, including generative and agentic AI applications.
· **Access and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify patterns, trends, and anomalies in transactions.**
· Partner with cross-functional teams across Compliance, Internal Audit, Commercial, R&D, and IS to design and deliver innovative analytics solutions.
**· Develop and maintain familiarity with global healthcare compliance standards, U.S. Federal (e.g., Sunshine Act / Open Payments, CMS), state transparency regulations, and industry codes (e.g., PhRMA Code).**
· Present complex analyses and insights clearly to diverse audiences, including senior stakeholders.
· Support priority projects and provide ad hoc analytics where needed.
**Basic Qualifications**
- Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 4-6 years of relevant experience - OR Master's degree with 4+ years of relevant experience - OR Ph.D. in a relevant field with 2+ years of experience
**Preferred Qualifications**
**· Strong proficiency in Python and SQL; familiarity with statistical programming and machine learning frameworks.**
**· Experience with data platforms such as Alteryx, Tableau, Databricks, SAS, or cloud-based solutions (AWS preferred).**
**· Demonstrated ability to work with structured and unstructured data, including text and natural language processing.**
**· Hands-on experience with data visualization and building intuitive dashboards for non-technical audiences.**
· Familiarity with AuditBoard or similar governance, risk, and compliance tools is a plus.
· Proven ability to thrive in a team-oriented, cross-functional environment with strong communication skills.
· Innovative mindset with a passion for leveraging emerging AI technologies in compliance and audit contexts.
· Detail-oriented, proactive, and comfortable managing multiple projects in a dynamic environment.

**Introduction**
A career in IBM Software means you'll be part of a team that transforms our customer's challenges into solutions.
Seeking new possibilities and always staying curious, we are a team dedicated to creating the world's leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.
IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive
**Your role and responsibilities**
The Data Scientist role requires a highly analytical individual proficient in Python programming, database management, and data science methodologies. You'll focus on extracting insights from data, developing and implementing machine learning models, managing big data infrastructure, and supporting AI-driven product development.
Key Responsibilities:
-Data Collection and Cleansing: Collect and cleanse data from diverse sources to ensure high-quality datasets for decision-making.
-Data Exploration and Visualization: Explore and visualize data using advanced techniques to uncover insights and trends.
-Statistical Analysis: Apply statistical and mathematical techniques to provide robust analytical foundations for predictive modeling.
-Machine Learning and Deep Learning: Develop and implement machine learning and deep learning models to address business challenges.
-ML-Ops / AI-Ops: Demonstrate expertise in ML-Ops / AI-Ops practices to ensure efficient model deployment and management.
-Big Data Management: Manage big data infrastructure and execute data engineering tasks for efficient data processing.
-Version Control and Collaboration: Utilize version control systems like Git for maintaining codebase integrity and fostering collaboration.
-AI-Driven Product Development: Design, create, and support AI-driven products to deliver impactful solutions aligned with user needs and business objectives.
**Required technical and professional expertise**
-Industry Experience: Minimum 8+ years of experience in the IT industry.
-Technical Proficiency: Proficient in Python programming, NLP techniques, and AI Frameworks (e.g., Hugging Face). 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 big data technologies and data engineering practices.
-Database Management: Knowledge of SQL and NoSQL database management.
-Data Science Skills: Strong background in data science, statistics, mathematics, and analytical techniques.
-Machine Learning Expertise: Expertise in machine learning and deep learning methodologies, including foundation models.
**Preferred technical and professional experience**
-Deep Learning Experience: Hands-on experience in data science for 8+ years with a minimum of 4 years in deep learning.
-Cloud Computing Experience: Experience with cloud computing platforms (AWS/Azure/Google/IBM) for leveraging advanced cloud-based services.
-Big Data Technologies: Familiarity with big data technologies and data engineering practices. Familiarity with MLOps practices and tools (e.g., MLflow, Airflow).
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.

**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
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