Lead Machine Learning Engineer - MLOps Engineer
IN - TDC 1 (IN110), India
INR 2500K-4600K (estimate) Senior-level Full Time Found 10d ago
Tasks
- Architect ML systems
- Champion MLOps best practices
- Collaborate with stakeholders
- Contribute to ML platform architecture
- Define model lifecycle strategies
- Deploy ML pipelines
- Design scalable ML models
- Ensure security, compliance, cost-efficiency
- Establish model monitoring standards
- Evaluate emerging ML technologies
- Integrate feature stores, vector databases, knowledge graphs
- Mentor engineering teams
- Oversee CI/CD workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Airflow | Azure ML | Data Lineage | Deep learning | Docker | EvidentlyAI | Fairness frameworks | Flink | GCP Vertex | GCP Vertex AI | Governance | Grafana | Hadoop | Helm | Hive | Kafka | Kubernetes | ML algorithms | ML communities | Model Interpretability | Model Observability | Open Source | Open Source ML | Prometheus | PyTorch | Python | SQL | Scikit-learn | Spark | Statistical Methods | TensorFlow | Terraform | Vertex AI | WatsonX | XGBoost
Education
Bachelor's | Master's | PhD
Language: en |
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