Senior ML Engineer - Traditional ML
About this role
Job Summary
This role focuses on developing and maintaining machine learning solutions for time series forecasting within the organizationâs data-driven platforms. The individual applies foundational knowledge of Python, ML algorithms, and data engineering tools to support feature enhancements, troubleshoot issues, and ensure reliable delivery of forecasting models. They contribute to the implementation of model evaluation techniques and collaborate within the team to meet project objectives and quality standards.
Key Responsibilities
1. Maintain and enhance time series forecasting models using Python, scikit-learn, and StatsModels, ensuring alignment with business requirements and quality standards.
2. Troubleshoot and resolve bugs in ML pipelines leveraging Apache Spark and Kafka, supporting data ingestion and transformation tasks.
3. Support model evaluation by applying cross-validation, ROC/AUC, Precision/Recall, F1-score, and confusion matrix techniques to assess performance of supervised learning models.
4. Participate in team code reviews and contribute to documentation of ML workflows and client deliverables using Python and ML libraries.
5. Monitor and process data streams for forecasting tasks using Apache Kafka and Spark, assisting in scheduled delivery and reporting of results.
6. Collaborate with team members to gather requirements and present forecasting results, supporting day-to-day client requests and ticket resolution.
2. Troubleshoot and resolve bugs in ML pipelines leveraging Apache Spark and Kafka, supporting data ingestion and transformation tasks.
3. Support model evaluation by applying cross-validation, ROC/AUC, Precision/Recall, F1-score, and confusion matrix techniques to assess performance of supervised learning models.
4. Participate in team code reviews and contribute to documentation of ML workflows and client deliverables using Python and ML libraries.
5. Monitor and process data streams for forecasting tasks using Apache Kafka and Spark, assisting in scheduled delivery and reporting of results.
6. Collaborate with team members to gather requirements and present forecasting results, supporting day-to-day client requests and ticket resolution.
Skill Requirements
1. Strong Understanding Of Machine Learning Concepts And Nlp Fundamentals.
2. Experience With Python Programming And Libraries Such As Numpy, Pandas, Scikitlearn, Tensorflow, And Pytorch.
3. Good Knowledge Of Time Series Analysis And Forecasting Techniques Using Statsmodels And Related Tools.
4. Familiarity With Data Engineering Platforms Including Apache Spark And Kafka For Processing And Managing Large Datasets.
5. Ability To Apply Model Evaluation Metrics Including Crossvalidation, Roc/Auc, Precision/Recall, F1Score, And Confusion Matrix.
6. Experience With Supervised And Unsupervised Learning Approaches.
7. Good Documentation And Communication Skills For Presenting Results And Supporting Client Requirements.
2. Experience With Python Programming And Libraries Such As Numpy, Pandas, Scikitlearn, Tensorflow, And Pytorch.
3. Good Knowledge Of Time Series Analysis And Forecasting Techniques Using Statsmodels And Related Tools.
4. Familiarity With Data Engineering Platforms Including Apache Spark And Kafka For Processing And Managing Large Datasets.
5. Ability To Apply Model Evaluation Metrics Including Crossvalidation, Roc/Auc, Precision/Recall, F1Score, And Confusion Matrix.
6. Experience With Supervised And Unsupervised Learning Approaches.
7. Good Documentation And Communication Skills For Presenting Results And Supporting Client Requirements.
Other Requirements
1. Optional But Valuable:
2. - Microsoft Certified: Azure Ai Fundamentals
3. - Tensorflow Developer Certificate
4. - Databricks Certified Associate Developer For Apache Spar
2. - Microsoft Certified: Azure Ai Fundamentals
3. - Tensorflow Developer Certificate
4. - Databricks Certified Associate Developer For Apache Spar
Frequently Asked Questions
Is the salary disclosed for the Senior ML Engineer - Traditional ML position at HCLTech?
The salary for this Senior ML Engineer - Traditional ML 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 ML Engineer - Traditional ML position at HCLTech located?
This Senior ML Engineer - Traditional ML role at HCLTech is based in Chennai, 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 ML Engineer - Traditional ML 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 ML Engineer - Traditional ML job at HCLTech posted?
This Senior ML Engineer - Traditional ML position at HCLTech was posted on Sep 21, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior ML Engineer - Traditional ML
HCLTech
You'll be redirected to HCLTech's official application page on successfactors.