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
PostedJan 7, 2026 · 9mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build complete generative AI applications around large language models, from initial design through deployment
  • Create agent and multi-agent workflows with MCP and A2A, and develop retrieval systems for documents
  • Use modern GenAI frameworks to build AI services, then connect chat interfaces, copilots and dashboards
  • Deploy and monitor AI systems in cloud environments, with attention to security, scale and responsible AI

What you bring

  • Strong Python skills, including building services with FastAPI and Flask
  • Practical experience with LLMs, embeddings, prompt design, agent workflows and RAG architectures
  • A solid grounding in machine learning, deep learning, language processing and generative AI
  • Experience deploying AI systems and operating MLOps workflows across cloud platforms

Who this fits

This role suits a mid-level AI/ML engineer who can work across model integration, backend services and production deployment. The position is based in Pune, India.

From the employer

AI/ML Engineer2

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)
  • 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