Our client is a leading technology organization focused on developing innovative AI/ML solutions, Generative AI applications, and next-generation digital products.
Job Summary
We are looking for an experienced Lead AI/ML Engineer to drive the design, development, and deployment of advanced AI solutions.
The ideal candidate will have 6–10 years of experience in AI/ML, with strong expertise in Generative AI, Large Language Models (LLMs), Computer Vision, and AI platform architecture.
You will define AI strategy, architect scalable AI systems, and lead AI/ML engineering initiatives to build production-ready solutions using LLMs, RAG, AI Agents, and multimodal AI.
Key Responsibilities
AI Strategy & Technical Leadership
- Lead architecture, design, and implementation of enterprise-scale AI/ML solutions.
- Define and drive AI/ML technical roadmaps.
- Provide technical leadership and mentorship to AI/ML engineers and data scientists.
- Establish best practices for AI development, deployment, monitoring, and optimization.
Generative AI & LLM
- Develop GenAI applications using GPT, LLaMA, Gemini, or other foundation models.
- Design and implement RAG pipelines.
- Lead LLM fine-tuning, prompt engineering, and model optimization.
- Design AI agent architectures using LangChain, LangGraph, and LlamaIndex.
AI/ML & Deep Learning
- Develop NLP, Computer Vision, and multimodal AI solutions.
- Work with PyTorch, TensorFlow, or Keras.
- Evaluate foundation and pre-trained models for business use cases.
- Drive data preprocessing, feature engineering, and dataset curation.
AI Platform & Infrastructure
- Design scalable AI infrastructure and MLOps pipelines.
- Deploy AI solutions on AWS, Azure, GCP, or hybrid environments.
- Build APIs, microservices, and AI integration pipelines.
- Optimize model inference for performance, scalability, and cost.
Performance & Quality
- Conduct model evaluation and benchmarking.
- Optimize AI systems for latency, scalability, and cost.
- Implement testing, monitoring, and observability for production AI systems.
Leadership & Collaboration
- Work closely with Product, Engineering, and Data teams.
- Translate business requirements into scalable AI solutions.
- Mentor engineers and promote innovation and knowledge sharing.
Required Skills
- 6–10 years of experience in AI/ML development and deployment.
- Strong Python programming skills.
- Strong experience with Generative AI and LLMs.
- Hands-on experience with LLM fine-tuning, prompt engineering, and optimization.
- Experience building RAG, chatbots, AI assistants, or document intelligence solutions.
- Strong NLP and Computer Vision experience.
- Experience with Transformers, OpenCV, YOLO, and R-CNN.
- Experience with LangChain, LangGraph, and/or LlamaIndex.
- Proficiency in PyTorch, TensorFlow, or Keras.
- Experience with AWS, Azure, or GCP.
- Experience with MLOps, 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.
- Proven leadership and mentoring experience.
Good to Have
- Multimodal AI — text, image, video, or speech.
- Docker and Kubernetes.
- FastAPI, Flask, or NVIDIA Triton.
- Distributed training and large-scale model training pipelines.
Qualifications
BE/BTech, ME/MTech, MCA, MSc-IT, BCA or equivalent qualification in Computer Science, IT, or related fields.