AI Automation

Posted 9 Days Ago
Be an Early Applicant
Coimbatore, Tamil Nadu, IND
In-Office
Senior level
eCommerce • Information Technology • Marketing Tech • Design
Award winning experts in eCommerce! We have more than ten years of experience with eCommerce solutions.
The Role
Lead end-to-end AI/ML solution delivery including opportunity identification, architecture, production deployment and continuous improvement. Manage and mentor AI/ML engineers, engage clients for AI transformation roadmaps, support pre-sales (RFP/RFQ), and ensure delivery governance. Focus on LLMs, agentic AI, RAG, vector databases, MLOps and production-grade deployments; finance or supply-chain domain experience is advantageous.
Summary Generated by Built In

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

Skills Required

  • 7-9 years experience with 2-3 years in AI/ML lead roles
  • Python (Advanced)
  • Machine Learning (Expert)
  • Deep Learning (TensorFlow / PyTorch)
  • NLP & Text Analytics
  • Feature Engineering
  • Model Evaluation & Tuning
  • Statistics & Probability
  • Data Pipelines
  • ML Pipeline Architecture
  • 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
  • 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
  • REST API Design (FastAPI / Flask)
  • SQL & NoSQL Databases
  • Cloud AI Services (Azure / AWS / GCP)
  • Docker & Containerisation
  • Git & Version Control
  • MLOps Fundamentals
  • 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
  • MLOps tools: MLflow, Weights & Biases, Model Registry, Drift Monitoring
  • Domain expertise in Finance (AP/AR, P2P, cash flow) or Supply Chain Management
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The Company
HQ: New York, NY
Year Founded: 2004

What We Do

At Vserve, we are award winning eCommerce specialists! Vserve is one of the leading full-service ecommerce agencies that offers a range of ebusiness solutions, catalog management services, and business intelligence expertise. In short, we specialize in delivering customized ecommerce solutions that make your business work for you so that you can work less!

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