Machine Learning Engineer
Terveys Technology Solutions is seeking a Machine Learning Engineer to design, build, and deploy models in a hybrid environment. The role involves the full model lifecycle including data pipelines, feature engineering, MLOps, and production monitoring. Applicants should have 3-5 years of experience with Python, production-grade coding practices, and MLOps tools. This role requires collaboration across cross-functional teams to solve real business problems.
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Experience
3-5 years
Function
Engineering
Work mode
Hybrid, India
Company
Tier 2
What you will work on
Terveys Technology Solutions is seeking a Machine Learning Engineer to design, build, and deploy models in a hybrid environment. The role involves the full model lifecycle including data pipelines, feature engineering, MLOps, and production monitoring. Applicants should have 3-5 years of experience with Python, production-grade coding practices, and MLOps tools. This role requires collaboration across cross-functional teams to solve real business problems.
TAL's take
Solid tier-2 role with well-defined technical responsibilities and clear MLOps expectations.
Very clear and well-structured JD detailing model lifecycle, MLOps, and specific technical requirements.
Must haves
- 3-5 years of hands-on machine learning experience
- At least one model successfully deployed to production
- Proficiency in Python and scientific stack
- Working knowledge of Docker, REST API serving, and experiment tracking
- Experience with cloud ML platforms like AWS, GCP, or Azure
- Comfortable with SQL and workflow orchestrators
Tools and skills
Nice to have: tft, deepar, n-beats, lstm, transformers, optuna, ray tune, great expectations, soda core, dbt, pyspark, feast, tecton, evidently ai, whylabs, arize, or-tools, pulp, gurobi, power bi, streamlit, tableau, hugging face.
About the company
unfamiliar company, default mid-tier.