Senior AI/ML Engineer

We are looking for a hands-on AI/ML Engineer with deep, practical experience across Computer Vision, Vision-Language Models (VLMs), and Large Language Models (LLMs). The ideal candidate is well-versed in the full AI SDLC from problem framing and data through model selection, fine-tuning, evaluation, deployment, and monitoring – and has a proven track record of delivering AI projects both through zero-touch/no-code AI platforms and through full end-to-end custom coding. This role requires someone who can move fluidly between rapid, low-code experimentation and production-grade engineering.

Key Responsibilities

• Design, build, and deploy Computer Vision, VLM, and LLM-based AI applications end-to-end.
• Own the full AI SDLC: problem framing, data collection/labeling, model selection and fine-tuning, evaluation, deployment, and monitoring.
• Build and integrate Vision-Language Models for multimodal use cases – image/video understanding, document AI, OCR combined with reasoning.
• Develop LLM-powered applications, including RAG pipelines, AI agents, chatbots, and copilots.
• Deliver solutions both via zero-touch/no-code AI platforms (e.g., Azure AI Foundry,Vertex AI, Bedrock) and via full custom code when the use case            demands it.
• Fine-tune and optimize vision and language models for accuracy, latency, and cost efficiency.
• Develop REST APIs and AI microservices to productionize and integrate models into applications.
• Collaborate with Product, Data, and Engineering teams to scope, build, and ship AI use cases.
• Implement responsible AI practices, including security, privacy, and model governance.
• Evaluate model performance and drive continuous improvement in accuracy, latency, and cost.

Required Technical Skills

Computer Vision & VLM

• Image/video classification, detection, and segmentation
• Vision-Language Models (e.g., GPT-4V, LLaVA, Gemini Vision, Claude Vision, CLIP, BLIP)
• OCR and document understanding
• Multimodal embeddings

LLM / Generative AI

• Large Language Models (OpenAI GPT, Claude, Gemini, Llama, or similar)
• Prompt engineering
• Retrieval-Augmented Generation (RAG) and semantic search
• AI agents and fine-tuning concepts

Programming

• Python
• SQL

AI Frameworks & Libraries

• LangChain, LlamaIndex
• Hugging Face Transformers
• PyTorch or TensorFlow
• OpenCV

Vector Databases

• Pinecone, FAISS, ChromaDB, or Weaviate

Cloud & AI Platforms

• Azure AI Foundry / Azure OpenAI
• AWS Bedrock
• Google Vertex AI
• OpenAI APIs

APIs & Backend

• FastAPI or Flask
• REST APIs, JSON

DevOps & MLOps

• Git, Docker, CI/CD
• MLflow (preferred)
• Model monitoring

Preferred Skills

• Demonstrated delivery of AI projects using both zero-touch/no-code AI platforms and full end-to-end coding.
• Experience with AI Agents and multi-agent frameworks (LangGraph, CrewAI, AutoGen, or similar).
• Experience with MCP (Model Context Protocol) is an added advantage.
• Experience building enterprise-grade AI copilots or chatbots.
• Understanding of Responsible AI, AI security, and prompt injection mitigation.
• Familiarity with Kubernetes and cloud deployment.