Home/Jobs/Lead AI/ML Engineer Lead AI/ML Engineer SRV Jansampark Kendra Vadodara 6-10 years Today $18.1K–30.1K/yr Full-time Onsite Skills Required LLM RAG Gen AI LangChain LlamaIndex Gemini GPT Transformers multimodal AI LangGraph LLaMA NLP Computer Vision PyTorch TensorFlow Description Enterprise AI/ML leadership role focused on building and scaling GenAI, LLM, NLP, and computer vision solutions. The position combines technical architecture, model development, MLOps, and cross-functional collaboration.

Company: Starvoke (SRV JanSampark Kendra) Role: AI/ML Lead Location: In person Experience 6–10 years of experience in AI/ML development and deployment

Strong expertise in supervised and unsupervised learning techniques

Hands-on experience with LLM training, fine-tuning, prompt engineering, and optimization

Experience building GenAI applications such as chatbots, AI assistants, and document intelligence systems

Strong experience in Natural Language Processing and Computer Vision

Hands-on expertise with Transformers, OpenCV, YOLO, and R-CNN architecture

Experience with multi-agent frameworks such as LangChain, LangGraph, and LlamaIndex

Proficiency in PyTorch, TensorFlow, or Keras

Strong programming skills in Python with experience in API development and microservices

Experience deploying AI models on AWS, Azure, or Google Cloud Platform

Familiarity with MLOps pipelines, model serving, and AI lifecycle management

Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate

Experience optimizing LLM inference for speed, cost, and memory efficiency

Proven ability to lead AI projects and mentor engineering teams

Strong communication skills with the ability to translate business requirements into AI solutions Qualification ME (IT, Computer)

BE (IT, Computer)

MCA

MSC-IT

BCA Responsibilities Lead the architecture, design, and implementation of enterprise-scale AI/ML solutions

Define and drive the AI/ML roadmap aligned with business objectives and product strategy

Provide technical leadership and mentorship to AI/ML engineers and data scientists

Establish best practices for model development, experimentation,



deployment, and monitoring

Design and develop Generative AI applications using LLMs or custom models

Architect and implement Retrieval-Augmented Generation pipelines for enterprise knowledge systems

Lead initiatives for LLM fine-tuning, prompt engineering, and model optimization

Design AI agent architectures using LangChain, LangGraph, and LlamaIndex

Develop and deploy NLP, Computer Vision, and multimodal AI models for business applications

Implement advanced deep learning architectures using PyTorch, TensorFlow, or Keras

Identify and evaluate pre-trained and foundation models for specific use cases

Drive data preprocessing, feature engineering, and dataset curation for model training

Design scalable AI infrastructure and MLOps pipelines for training, deployment, and monitoring

Deploy AI solutions across cloud or hybrid/on-premise environments

Build APIs, microservices, and pipelines to integrate AI capabilities into enterprise applications

Lead efforts in model optimization, inference acceleration, and resource efficiency

Conduct model evaluation, benchmarking, and continuous performance optimization

Optimize AI systems for latency, scalability, and cost efficiency

Implement testing, monitoring, and observability frameworks for AI systems in production

Work closely with Product, Engineering, and Data teams to define AI-powered product features

Evaluate emerging AI research and technologies for business impact

Promote a culture of experimentation, innovation, and knowledge sharing within the AI team Additional Responsibilities Supervise and guide supervised and unsupervised learning use cases such as regression, classification, clustering, and SVMs

Support model training and deployment for real-world business applications





Work in multiple / matrix work setting

Practice first-time-right delivery mindset

Maintain eye for details

Demonstrate customer orientation

Use systems thinking

Apply negotiation, analytical, and interpersonal skills

Show leadership and team player qualities

Maintain personal integrity, robustness of ethics, resilience, and stakeholder influence Nice To Have Experience with multimodal AI covering text, image, video, and speech

Familiarity with Docker, Kubernetes, and containerized AI deployment

Experience with model serving frameworks such as FastAPI, Flask, or NVIDIA Triton

Exposure to distributed training and large-scale model training pipelines More Skills AI/ML, prompt engineering, model optimization, Keras, Python, APIs, microservices, AWS, Azure, Google Cloud Platform, MLOps, model serving, AI lifecycle management, FAISS, Pinecone, ChromaDB, Weaviate, OpenCV, YOLO, R-CNN, Docker, Kubernetes, FastAPI, Flask, NVIDIA Triton, distributed training Other Pay: ₹1,500,000.00 - ₹2,500,000.00 per year

Starvoke (SRV JanSampark Kendra) never charges for job vacancies

Excellent oral and written communication expected

Knowledge of latest technology trends expected

Strong self-learning mindset expected Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment. Functions, Tools and Agents with LangChain Coursera Advanced LangChain covering function calling, tool use, and conversational agents.

Introduction to Generative AI Coursera Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools. More LLM jobs Member of Technical Staff, AI/ML Engineering Micro1 India Today AI Engineer – Agentic AI Systems Truebyl Kolkata Today GenAI Developer/ Engineer Capco, A Wipro Company Bengaluru Today LLM Operations Engineer Accenture Pune Today AI Engineer IC Markets Global Hyderabad Today Agentic AI Developer EC-Council Hyderabad Today

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