AI/ML Engineering Lead/(Gen AI,Python,LLM,ETL)Associate Director
Pune, Maharashtra, India
R
INR 2000K-4000K (estimate) Mid-level Full Time
Tasks
- Define engineering standards and governance frameworks
- Design and build data pipelines
- Embed security by design and compliance controls
- Enforce engineering best practices code reviews and test coverage
- Ensure data quality, lineage, and governance
- Evaluate model performance using classification metrics
- Implement MLOps model lifecycle practices
- Lead AI ML engineering solution delivery on GCP
- Lead production operations including SLOs incident management and RCA
- Monitor models and services with rollback strategies
- Own AI data platform architecture and technical strategy
- Set up CI CD automated testing and deployment
- Translate use cases into requirements milestones and success metrics
Perks/Benefits
- Continuous professional development
- Flexible working
- Inclusive diverse environment
- Opportunities for growth
Skills/Tech-stack
Apache Airflow | Apache Beam | Auditability | Automated testing | BigQuery | CI/CD | Cause analysis | Chunking | Cloud Storage | Cloud platform | Data Governance | Data Lineage | Data Modeling | Data Privacy | Data Retention | Dataflow | Embedding | Embedding strategies | Encryption | FalkorDB | Google Cloud | Google Cloud Platform | Graph Data | Graph Data Modeling | Graph Databases | Hybrid search | IAM | Incident Management | LLM orchestration | Langchain | Llamaindex | MLOps | Metadata Management | Model Monitoring | PGVector | PostgreSQL | Prompt engineering | Pub/Sub | Python | RAG | Redis | Retrieval-Augmented Generation | Rollback | Root Cause Analysis | Root cause | SLO | Scripting | Secrets management | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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