Senior Machine Learning Engineer
Tata Consultancy Services is seeking a Senior Machine Learning Engineer to join their global IT services team in Singapore. The role involves designing end-to-end ML pipelines including model development, feature engineering, and real-time inference. Candidates must demonstrate deep expertise in the Databricks ecosystem, MLflow, and distributed processing frameworks. The position focuses heavily on MLOps standards, CI/CD, and model governance for large-scale enterprise use cases.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, Singapore
Company
Tier 2
What you will work on
Tata Consultancy Services is seeking a Senior Machine Learning Engineer to join their global IT services team in Singapore. The role involves designing end-to-end ML pipelines including model development, feature engineering, and real-time inference. Candidates must demonstrate deep expertise in the Databricks ecosystem, MLflow, and distributed processing frameworks. The position focuses heavily on MLOps standards, CI/CD, and model governance for large-scale enterprise use cases.
TAL's take
Solid, well-defined role at a large, established global consultancy, though it lacks the high-growth profile of top-tier product firms.
The JD provides a highly specific list of responsibilities and required technologies, leaving no doubt about the expected technical output.
Salaries at Tata Consultancy Services
9.2 LPA average
Based on 27 Grapevine salary entries for Tata Consultancy Services.
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6 - 8 years
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Must haves
- Proficiency in Python, PySpark, SQL, Spark, and Scala.
- Experience with ML libraries including numpy, pandas, scikit-learn, tensorflow, pytorch, xgboost, and lightgbm.
- Hands-on experience with Databricks platform including notebooks, jobs, and Delta Lake.
- Deep expertise in MLOps tools specifically MLflow and CI/CD pipelines.
- Experience designing predictive, forecasting, and optimization models.
Tools and skills
About the company
TCS is a massive global IT services firm, classified as Tier 2 for general engineering roles compared to specialized tech-product companies.
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