AI/ML Senior Specialist
INR 3242K-5000K (estimate) Senior-level Full Time
Tasks
- Apply LoRA and QLoRA fine tuning
- Build developer copilot integration
- Build embeddings and semantic search pipelines
- Containerize and orchestrate AI workloads
- Create model evaluation harnesses and regression tests
- Deploy LLM inference serving with vLLM or TGI
- Design vector database deployments
- Develop RAG architectures for multiple use cases
- Develop knowledge graph pipelines and entity extraction
- Expose AI capabilities via REST and OpenAI compatible APIs
- Implement LLM fine tuning training pipelines
- Implement hybrid search with BM25 and dense retrieval
- Implement prompt injection defenses and guardrails
- Instrument inference observability metrics
- Integrate MCP connectors and internal data sources
- Prototype agentic AI patterns for retrieval and action execution
- Run human evaluation workflows
Perks/Benefits
Skills/Tech-stack
BM25 | CI/CD | Chroma | Docker | Embeddings | Guardrails | Hugging Face | Hugging Face Accelerate | Hugging Face Datasets | Hugging Face Evaluate | Hugging Face PEFT | Hugging Face Transformers | Hybrid search | JAX | Kubernetes | LoRA | MLflow | MRR | NDCG | Ollama | OpenAI Compatible | OpenAI Compatible API | Pinecone | Prompt engineering | PyTorch | Python | QLoRA | Qdrant | RAG | REST API | Recall K | Retrieval evaluation | Semantic Search | Text Generation | Text generation inference | Transformers | VLLM | Vector Database | Weaviate | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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