About Netscribes :

Netscribes is a global leader in data, insights, and digital solutions, helping the world's largest organizations accelerate growth and innovation. As a growth catalyst, we empower sales, marketing, product development, and strategy through a unique blend of domain expertise and technological capabilities. Our end-to-end solutions span data engineering, advanced analytics, AI, and intelligent automation - built to scale and adapt to dynamic business environments.

Role Overview :

We are looking for a Lead Consultant to own end-to-end AI and GenAI engineering initiatives. You will work across the full stack of ML/AI, from classical ML and MLOps to Agentic AI and RAG architectures.

Mandatory Skills :

- Python : Production-grade, clean, modular code.

- Classical ML & MLOps : End-to-end ownership (feature engineering, training, deployment, monitoring, CI/CD).

- Agentic AI Engineering : Multi-agent systems, tool use, orchestration (LangGraph, AutoGen, CrewAI).

- Execution Platforms : Hands-on experience with Databricks, AWS (Bedrock, SageMaker), or Azure (AI Foundry, Azure OpenAI).

- Foundation Model Engineering : Fine-tuning (LoRA, QLoRA), prompt engineering, drift management.

- RAG Architecture : Document ingestion, chunking, vector store integration, re-ranking.

- Vector Databases : Pinecone, Weaviate, Qdrant, or Milvus.

- LLM Evaluation : RAGAS, TruLens, DeepEval, golden set benchmarking.

- AI Governance : Model observability, audit trails, bias risk management.

Key Responsibilities :

- Own end-to-end ML pipeline design and MLOps standards.

- Architect and build multi-agent systems for complex business workflows.

- Select and fine-tune foundation models; manage prompt-to-model drift.

- Design retrieval systems (naive RAG, hybrid, Graph RAG) and manage vector database performance.

- Define evaluation frameworks for LLM/Agentic solutions.

- Provide technical leadership : mentor engineers, set engineering standards, and represent the team in client conversations.

Education :

- Graduates only.