Senior ML Engineer
Noida, Uttar Pradesh
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build batch and real time ML pipelines
- Collaborate with data engineering and data science teams
- Deploy LLM powered RAG systems
- Design feature pipelines and prevent data leakage
- Design production grade ML system architecture
- Implement MLOps CI CD and evaluation gates
- Mentor engineers and lead ML code reviews
- Monitor model drift and observability metrics
- Operationalize ML models for scalable serving
- Own end-to-end ML lifecycle
Perks/Benefits
Skills/Tech-stack
AWS Lambda | Amazon SageMaker | Apache Airflow | Apache Flink | Azure Data | Azure Data Factory | Azure Machine Learning | BigQuery | CI/CD | Chroma | Cloud Machine Learning | Cloud machine learning platforms | DVC | Data Factory | Data Leakage Prevention | Data leakage | Docker | Feature Engineering | Feature Store | Fine Tuning | GCP Dataflow | Kafka | Kinesis | Kubernetes | LLMOps | Leakage prevention | Learning platforms | MLOps | MLflow | Machine Learning | Machine Learning Platforms | Model Monitoring | ONNX | PGVector | Pinecone | Prefect | Prompt versioning | Python | RAG | SQL | Snowflake | Spark Streaming | TensorRT | Train serve skew | Vector Databases | Vertex AI | Weaviate | Weights and Biases
Education
N/A
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