aimlroles

AI/ML Engineer

Jade Global Open · verified Oct 22, 2026
Pune Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at Jade Global. Pune · full-time.

Pay not stated Machine Learning Engineering salary

RoleMachine Learning Engineering
SeniorityMid-level
LocationPune
EmploymentFull-time
PostedJul 1, 2026 · 3mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and launch complete applications powered by large language models
  • Create agent-based systems with MCP and A2A, alongside retrieval pipelines and document intelligence tools
  • Use GenAI frameworks to build backend services and connect chat interfaces, copilots, and dashboards to AI APIs
  • Deploy and monitor AI systems in the cloud, addressing speed, security, scale, and responsible AI requirements

What you bring

  • Strong Python skills, including building services with FastAPI and Flask
  • A solid grounding in machine learning, deep learning, NLP, and generative AI, plus practical work with LLMs, embeddings, and prompts
  • Experience designing agent systems with MCP or A2A and building RAG architectures with vector databases
  • Deployment and MLOps experience across cloud platforms, containers, orchestration, CI/CD, and model operations tools
  • Working knowledge of web technologies and REST or WebSocket integration

Who this fits

This mid-level role suits an engineer who can build and deploy LLM applications across backend, retrieval, agent, and interface work. The position is based in Pune, India.

From the employer

AI/ML Engineer1

Key Responsibilities

  • Build and deploy LLM-based GenAI applications end-to-end
  • Work with multiple LLMs (OpenAI/Azure OpenAI, Gemini, Claude, LLaMA, Mistral)
  • Design and implement agentic and multi-agent systems using MCP and A2A
  • Develop RAG pipelines and document intelligence solutions
  • Use modern GenAI frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Google ADK, MS CoPilot)
  • Build AI backend services using FastAPI and Flask
  • Develop and integrate chat UIs, copilots, and dashboards with AI APIs
  • Productionize, deploy, and monitor AI systems on cloud platforms
  • Ensure performance, security, scalability, and Responsible AI compliance

Required Skills

  • Strong Python programming with FastAPI and Flask
  • Solid understanding of ML, Deep Learning, NLP, and GenAI concepts
  • Hands-on experience with LLMs, embeddings, and prompt engineering
  • Experience designing agentic systems with MCP / A2A
  • Expertise in RAG architectures and vector databases (FAISS, Pinecone, Weaviate, Chroma, Milvus)
  • Working knowledge of front-end technologies: HTML, CSS, JavaScript, Stremlit; React preferred
  • API design and integration (REST / WebSockets)
  • Strong deployment & MLOps experience: Azure / AWS / GCP, Docker, Kubernetes, CI/CD, MLflow / Azure ML / SageMaker / Vertex AI

Good to Have

  • Fine-tuning open-source LLMs (LoRA, PEFT, Hugging Face)
  • Experience with autonomous agents and async workflows
  • Exposure to RPA + Agentic AI integration
  • Knowledge of AI governance, monitoring, and security