About Us Vserve Ebusiness Solution is one of the leading providers of e-commerce solutions and product catalog management services. We provide best-in-class services at affordable rates. We can build your brand like ours. With a track record of handling various industries in the US, UK, Europe, and Asia-Pacific, Vserve’s highly experienced team is dedicated to delivering the finest e-commerce solutions with the highest quality of service. With Vserve, you will receive customer satisfaction as we strive to exceed expectations. All in all, Vserve is the ideal partner for you to push your business forward. erve Ebusiness Solution is one of the leading providers of e-commerce solutions and product catalog management services. We provide best-in-class services at affordable rates. We can build your brand like ours. With a track record of handling various industries in the US, UK, Europe, and Asia-Pacific, Vserve’s highly experienced team is dedicated to delivering the finest e-commerce solutions with the highest quality of service. With Vserve, you will receive customer satisfaction as we strive to exceed expectations. All in all, Vserve is the ideal partner for you to push your business forward. Job Description 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 Production-grade model lifecycle management HuggingFace Transformers, PEFT, datasets, Hub model publishing Open-source LLM adaptation & distribution Azure Stack Azure OpenAI Service, Copilot Studio, Semantic Kernel Microsoft-ecosystem client delivery RPA / Hybrid
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