Lead AI Engineer
DGS India - Pune - Baner M- Agile
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Build and maintain CI CD pipelines for model versioning monitoring and evaluation
- Build and optimize transformer and multimodal models
- Build multimodal AI applications using LLMs and agent frameworks
- Build predictive models and end to end ML pipelines
- Collaborate across engineering data science and customer experience teams to deliver AI solutions
- Deploy and monitor ML AI systems on AWS Azure or GCP
- Design AI workflows with reasoning planning tool use memory and grounding
- Develop information retrieval systems with hybrid dense sparse retrieval and ranking
- Develop knowledge graph assisted AI systems with entity extraction linking and KG augmented retrieval
- Develop scalable ML APIs and microservices
- Document models experiments evaluation frameworks and deployment processes
- Implement LLM fine tuning alignment RLHF RLAIF and LoRA QLoRA
- Implement knowledge graph pipelines for retrieval and relevance optimization
- Implement safety consistency and hallucination control with evaluation and guardrails
- Mentor junior engineers and contribute to best practices
- Optimize for cost latency and reliability in production ML systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Frameworks | Apache Spark | Autogen | Azure | CI/CD | Deep learning | Django | Docker | Embeddings | Entity Linking | FastAPI | Fine Tuning | Flask | GCP | Guardrails | Hadoop | Hybrid retrieval | Information Retrieval | Knowledge graphs | LLM Fine-tuning | Langchain | Langgraph | Llamaindex | LoRA | MLOps | Machine Learning | Model Evaluation | MongoDB | Monitoring | Multimodal Models | Prompt engineering | Pruning | PyTorch | Python | QLoRA | RAG | RLAIF | RLHF | Ranking | SQL | TensorFlow | Transformers | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI Engineer | Engineer | Generative AI Engineer | Lead | Lead AI Engineer
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