Machine Learning Engineer
Talentgigs is seeking an MLOps Engineer for the healthtech domain to operationalize production ML systems. The role involves managing the full model lifecycle, from pipeline orchestration and deployment to monitoring in regulated environments. Applicants must possess strong Python, Databricks, and Kubernetes expertise, with specific experience in pharma or healthcare data. The position bridges experimental data science and production-grade software engineering.
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Experience
3-5 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Talentgigs is seeking an MLOps Engineer for the healthtech domain to operationalize production ML systems. The role involves managing the full model lifecycle, from pipeline orchestration and deployment to monitoring in regulated environments. Applicants must possess strong Python, Databricks, and Kubernetes expertise, with specific experience in pharma or healthcare data. The position bridges experimental data science and production-grade software engineering.
Must haves
- 3-5 years MLOps or ML engineering experience
- Strong proficiency in Python
- Hands-on experience in Databricks and MLflow
- Experience with Docker and Kubernetes
- Experience authoring and managing ML pipelines on Kubeflow
- Hands-on experience with US pharma data sources
Tools and skills
Nice to have: sagemaker, vertex ai, openshift, scikit-learn, xgboost, pytorch, tensorflow, terraform.
About the company
unfamiliar company, default mid-tier