Data Scientist – ML Ops Engineer - Senior Engineer, AS
Pune - Margarpatta, India
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Architect ML infrastructure on cloud
- Build feature engineering pipelines
- Collaborate cross-functionally to operationalize models
- Deploy machine learning models to production
- Develop generative AI model solutions
- Implement end-to-end MLOps pipelines
- Implement model versioning and governance
- Integrate machine learning systems with enterprise applications
- Manage experiment tracking
- Monitor model performance and data drift
- Orchestrate hyperparameter tuning
- Research new MLOps and generative AI techniques
- Set up continuous integration continuous delivery and continuous training
- Train and optimize machine learning models
- Troubleshoot deployment and performance issues
- Write maintainable well-documented code
Perks/Benefits
- Accident insurance
- Best in class leave policy
- Certification sponsorship
- Childcare assistance reimbursement
- Employee assistance program
- Gender neutral parental leaves
- Health screening
- Hospitalization insurance
- Term life insurance
Skills/Tech-stack
AWS | Agentic AI | Azure | BERT | CI/CD | Concept drift | Continuous Training | Data Drift | Docker | Experiment tracking | Feature Store | GCP | Generative AI | Hyperparameter Tuning | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Model Monitoring | Model versioning | NumPy | Pandas | Python | R | Reproducibility | SQL | Scikit-learn | Transformers
Education
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