AI / ML Solutions Lead

Role

AI / ML Solutions Lead

Experience

7 - 9 Years (min. 2 - 3 years in AI/ML lead roles)

Location

India

Work Model

WFO / Remote / Hybrid — flexible based on candidate profile

Employment Type

Full-Time

Reporting To

IT PM

About the Role We are seeking an AI / ML Solutions Lead with proven hands-on experience in Agentic AI, LLMs, and enterprise-grade machine learning delivery. In this lead role, you will own the end-to-end AI solutions lifecycle — from opportunity identification and solution architecture through to production deployment and continuous improvement. You will lead and mentor a high-performing team of AI/ML engineers, engage directly with clients to shape AI transformation roadmaps, and drive pre-sales and delivery excellence across engagements. Domain expertise in Finance (AP/AR, P2P, cash flow) or Supply Chain Management (procurement, inventory, logistics) will be treated as a significant added advantage. Must-Have Skills

Core AI / ML Python (Advanced)

Machine Learning (Expert)

Deep Learning — TF / PyTorch

NLP & Text Analytics

Feature Engineering

Model Evaluation & Tuning

Statistics & Probability

Data Pipelines

ML Pipeline Architecture

Large Language Models & Generative AI LLM Design & Integration (GPT-4o / Claude / Gemini)

Advanced Prompt Engineering

RAG Architecture & Optimisation

Vector Databases (FAISS / Pinecone / Weaviate)

LangChain / LlamaIndex

Fine-Tuning (LoRA / QLoRA / PEFT)

Embeddings & Semantic Search

Knowledge Base Design

LLM Evaluation Frameworks

Agentic AI (Proven Experience — Key Differentiator) Agentic System Design & Architecture

LangGraph / AutoGen / CrewAI

Tool Use & Function Calling

ReAct / CoT / Plan-and-Execute Patterns

Memory & State Management in Agents

Multi-Agent Orchestration

Human-in-the-Loop Workflows

Guardrails & Safety for Agents

Production Agent Deployment

Data, APIs & Infrastructure REST API Design (FastAPI / Flask)

SQL & NoSQL Databases

Cloud AI Services (Azure / AWS / GCP)

Docker & Containerisation

Git & Version Control

MLOps Fundamentals

Leadership & Consulting AI Solution Architecture

Pre-Sales & RFP / RFQ Response

Client Stakeholder Management

Team Leadership & Mentoring

Delivery Governance & QA

AI Roadmap & Strategy Consulting

Estimation & Proposal Writing

Agile / Scrum Delivery

Risk & Dependency Management

Good-to-Have Skills

Skills below are not mandatory but will significantly strengthen the candidate’s profile. Finance / SCM domain experience is particularly valued for client-facing engagements. Category Skills / Tools Relevance MLOps

MLflow, Weights & Biases, Model Registry, Drift Monitoring