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Description
*Machine Learning Lead – LLMs, GenAI & Conversational AI* Noida (Sector 63) – Hybrid (office-based role) * *2+ years* hands-on in LLM / Generative AI * *5+ years* overall in AI/ML or IT Full-time 🔍 About the Role Jupiter AI Labs is looking for a *Machine Learning Lead* to spearhead development and deployment of cutting-edge AI solutions across NLP, Vision, and Speech. You’ll architect LLM & agentic-AI pipelines, build conversational agents, own CI/CD deployments, mentor junior engineers, and liaise directly with clients and stakeholders. 🧩 Key Responsibilities * *End-to-end LLM Solutions*: Lead design, fine-tuning & deployment of chatbots, multi-agent (A2A/MCP) workflows. * *Open-Source Model Integration*: Architect pipelines with Llama2, Mistral, Claude, GPT-series via Hugging Face, LangChain, etc. * *AI Agent Orchestration*: Build automations with N8N / Make.com / LangGraph. * *Conversational AI*: Develop assistants using Botpress, Rasa, Azure Bot Framework, AWS Lex. * *Speech & Vision*: Integrate ASR (Whisper, Coqui), TTS engines, and OCR models (Tesseract, PaddleOCR). * *Full-Stack ML APIs*: Develop FastAPI/Flask services, integrate into React/Node.js front ends. * *Cloud CI/CD*: Deploy scalable models on AWS/Azure/GCP, automate via Docker, Terraform, GitHub Actions. * *Team Leadership*: Mentor ML engineers, run daily standups, produce status reports. * *Client Engagement*: Represent Jupiter AI Labs in technical reviews, manage stakeholder expectations, deliver project documentation. --- ## 🛠️ Required Skills & Experience * 2+ years in *LLM / Generative AI* (prompt-engineering, fine-tuning, RAG). * Proficient with *Hugging Face*, LangChain, Transformers, vector databases. * Hands-on with *agentic AI* tools (LangGraph, CrewAI) and A2A/MCP pipelines. * Experience building *conversational agents* (Rasa, Botpress, Azure Bot, Lex). * Expertise in *ASR* and *TTS* integrations (Whisper, commercial APIs). * OCR modeling (Tesseract, PaddleOCR, Google Vision API). * Full-stack ML API development (FastAPI/Flask + React or Node). * Cloud deployment & CI/CD on AWS/Azure/GCP (Docker, Kubernetes, Terraform). * Workflow automation with *N8N*, Make.com, or Zapier. * Computer Vision experience (YOLO, OpenCV, custom CNNs). * Strong understanding of *MLOps* practices, version control, and monitoring. * Proven track record running daily standups, reporting, and mentoring. --- ## 🌟 Soft Skills * Exceptional verbal & written English communication. * Collaborative leadership in cross-functional teams. * Highly organized, proactive, and deadline-driven. * Ability to train freshers and manage junior engineers. * Strong stakeholder management and client-facing presence. --- ## 🎓 Preferred Qualifications * B.Tech / M.Tech / Ph.D. in Computer Science, AI, or related field. * Open-source contributions (GitHub, Hugging Face Spaces). * Certifications in AI/ML (AWS, Google Cloud, etc.). --- ## 🎁 What We Offer * Exposure to breakthrough LLM, CV, ASR & GenAI projects. * Ownership of end-to-end architecture and experiments. * Fast-paced, learning-driven culture. * Competitive salary + performance bonuses. * Medical insurance, flexible work hours, and career growth path. *To apply, please share your resume, answers to the screening questions, and links to any relevant GitHub or project portfolios to hr@juppiterailabs.com ( binni@juppiterailabs.com)**. We look forward to building the future of AI together! Show more Show less
