Codechavo Global
Lead AI/ML Engineer - Generative AI
- Compensation
- Not disclosed
- Location
- Karnataka; Gurgaon/Gurugram; Noida
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Ml / AI
- Posted
Skills
Full description
Lead Gen AI - AI/ML EngineerLocation : Bangalore, Noida, Gurgaon
Exp : 8+ years
We are seeking a Senior AI/ML Engineer to design, develop, and deploy production-grade AI/ML solutions within client's organization. This role focuses on building Generative AI applications, multi-agent systems, and advanced retrieval pipelines that drive measurable business impact. You will work at the intersection of cutting-edge AI research and enterprise software engineering, collaborating with data scientists, platform engineers, and domain experts across R&D, supply chain, and commercial functions.
Basic Ask :
- Strong planning skills and should be able to work on the plan with the technical lead / architect
- Strong GenAI development skills alongside classical ML/NLP foundations
- Planning capability - able to lead technical planning for AI sprints and agree to delivery plans crafted by engineering leads
- Accountable, self-driven, with a bias toward shipping production-grade solutions
- Minimum 2 years hands-on experience building and deploying GenAI / LLM applications in production
Key Responsibilities :
- Generative AI & LLM Development
- ML Engineering & MLOps
- Architecture & Cloud
- Collaboration & Leadership
Technical Skills Matrix :
- GenAI & LLMs : LangChain, LangGraph, OpenAI API, Claude API, Hugging Face Transformers, prompt engineering, multi-agent orchestration
- ML Frameworks : PyTorch, TensorFlow, Scikit-learn, XGBoost; fine-tuning (LoRA / QLoRA / PEFT)
- NLP & Retrieval : RAG, Graph RAG, hybrid search, vector DBs (Pinecone, Weaviate, Chroma), embedding models, NER, text classification
- LLMOps & Eval : LangSmith, Langfuse, RAGAS, LLM-as-judge, model versioning, A/B testing, prompt management
- Inference : vLLM, TensorRT-LLM, DeepSpeed, ONNX Runtime, quantization techniques
- Cloud & Infra : AWS (Bedrock, SageMaker, Lambda, S3) or Azure; Docker, Kubernetes, Terraform
- Programming : Python (primary), FastAPI, SQL, Git, Bash; familiarity with TypeScript / JavaScript a plus
- Data & Tools : PostgreSQL, Neo4j, MongoDB, Redis, Apache Kafka, Databricks, Jupyter, MLflow
Qualifications Required :
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Mathematics, or a related field from a reputed institution
- 10+ years of total experience in ML/AI or data science roles, with a minimum of 2 years building and deploying GenAI / LLM applications in production