Senior Data Scientist
EXL Talent Acquisition Team
Senior Data Scientist - ML, Python
About this role
Job Summary
Key Responsibilities
Pipeline Development & Automation: Design and implement automated ML pipelines for model training, testing, deployment, and monitoring.
Model Deployment & Monitoring: Deploy AI/ML models into production environments using containerization and orchestration tools; ensure performance and reliability.
Cloud Infrastructure Management: Configure and optimize cloud resources (AWS SageMaker, S3, Bedrock) for scalable ML workflows.
Data Integration: Collaborate with Data scientist to streamline data ingestion and transformation for model readiness.
CI/CD for ML: Implement continuous integration and delivery practices tailored for ML workflows.
Performance Optimization: Monitor model performance, retrain as needed, and manage versioning for reproducibility.
Collaboration: Work closely with Data Scientists to translate experimental models into production-ready solutions.
Requirements
MLOps Expertise: Strong knowledge of ML lifecycle management, pipeline automation, and monitoring tools.
Cloud Platforms: Hands-on experience with AWS (SageMaker, Lambda, ECS/EKS), Snowflake, and related services.
Programming: Proficiency in Python; familiarity with ML frameworks (PyTorch, TensorFlow).
Containerization & Orchestration: Experience with Docker and Kubernetes for scalable deployments.
CI/CD Tools: Knowledge of GitHub Actions, Jenkins, or similar tools for automated workflows.
Data Engineering: Ability to work with SQL and integrate data from multiple sources.
Key Responsibilities
1. Design And Implement Advanced Machine Learning Algorithms Using Tensorflow And Pytorch To Extract Insights From Large Datasets, Delivering Customized Analytical Reports Tailored To The Needs Of Colleagues, Clients, And Stakeholders.
2. Leverage Python And Sql To Develop And Optimize Data Models That Address Specific Organizational Challenges, Ensuring Effective Integration And Management Of Data.
3. Analyze And Mine Large Datasets To Identify Trends And Patterns, Utilizing Advanced Analytics Techniques To Interpret Findings And Provide Actionable Recommendations Based On Experimental Results.
4. Collaborate With Cross-Functional Teams To Identify Opportunities For Utilizing Data Insights To Formulate Strategic Business Solutions That Enhance Operational Efficiency And Product Offerings.
5. Create Comprehensive Visualizations And Reports Using Data Visualization Tools To Communicate Complex Analysis And Results Clearly, Enabling Informed Decision-Making For Customers And Stakeholders.
2. Leverage Python And Sql To Develop And Optimize Data Models That Address Specific Organizational Challenges, Ensuring Effective Integration And Management Of Data.
3. Analyze And Mine Large Datasets To Identify Trends And Patterns, Utilizing Advanced Analytics Techniques To Interpret Findings And Provide Actionable Recommendations Based On Experimental Results.
4. Collaborate With Cross-Functional Teams To Identify Opportunities For Utilizing Data Insights To Formulate Strategic Business Solutions That Enhance Operational Efficiency And Product Offerings.
5. Create Comprehensive Visualizations And Reports Using Data Visualization Tools To Communicate Complex Analysis And Results Clearly, Enabling Informed Decision-Making For Customers And Stakeholders.
Skill Requirements
1. - Strong Knowledge Of Machine Learning Principles And Algorithms Using Tensorflow And Pytorch.
2. - Proficient In Programming Languages Such As Python For Data Analysis And Model Development.
3. - Solid Understanding Of Sql For Data Manipulation And Querying Large Databases.
4. - In-Depth Experience With Data Analytics Techniques And Tools For Interpreting Complex Datasets.
5. - Excellent Collaboration And Communication Skills To Work With Diverse Teams And Stakeholders.
2. - Proficient In Programming Languages Such As Python For Data Analysis And Model Development.
3. - Solid Understanding Of Sql For Data Manipulation And Querying Large Databases.
4. - In-Depth Experience With Data Analytics Techniques And Tools For Interpreting Complex Datasets.
5. - Excellent Collaboration And Communication Skills To Work With Diverse Teams And Stakeholders.
Other Requirements
1. Optional But Valuable Certifications: Certified Data Scientist (Cds), Tensorflow Developer Certificate, Or Professional Data Engineer Certification.
Frequently Asked Questions
Is the salary disclosed for the Senior Data Scientist - ML, Python position at HCLTech?
The salary for this Senior Data Scientist - ML, Python role at HCLTech is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Data Scientist - ML, Python position at HCLTech located?
This Senior Data Scientist - ML, Python role at HCLTech is based in Noida, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Senior Data Scientist - ML, Python position at HCLTech?
Click the "Apply Now" button on this page. You will be redirected to HCLTech's official application portal hosted on successfactors where you can submit your application directly.
When was the Senior Data Scientist - ML, Python job at HCLTech posted?
This Senior Data Scientist - ML, Python position at HCLTech was posted on Aug 11, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Data Scientist - ML, Python
HCLTech
You'll be redirected to HCLTech's official application page on successfactors.