Live opening · Posted 3 days ago
At a glance
The key details from the original listing.
Your early-applicant advantage
Live timing from JobBeeper.
About the role
Description supplied by the original job listing.
We’re Hiring | AIML Team Lead / Technical Lead
📍 Jaipur, Rajasthan, India | 💼 Full-time
Are you passionate about building next-generation AI solutions and leading high-performing engineering teams? We’re looking for an AIML Team Lead / Technical Lead to drive innovation across Generative AI, LLMs, RAG, Agentic AI, and enterprise AI solutions.
Key Responsibilities
Design and implement scalable AI/ML architectures for enterprise applications.
Lead the development of ML, Deep Learning, Generative AI, LLMs, RAG pipelines, AI agents, and multi-agent workflows.
Build and deploy LLM-powered applications and AI automation solutions.
Evaluate, fine-tune, optimize, and deploy open-source and commercial LLMs.
Drive model optimization, monitoring, production deployment, and MLOps practices.
Mentor AI/ML engineers, conduct code reviews, and establish engineering best practices.
Collaborate with clients on solution architecture, POCs, technical proposals, and presentations.
Required Skills & Experience
7+ years of experience in software development, AI/ML engineering, or related technical roles, with relevant AI/ML and technical leadership experience.
Strong Python programming and backend development experience using FastAPI, Flask, or Django.
Expertise in Machine Learning, Deep Learning, and frameworks such as PyTorch, TensorFlow, or Scikit-learn.
Hands-on expertise in Generative AI, LLMs, RAG, prompt engineering, embeddings, and vector databases.
Experience with Hugging Face Transformers, Hugging Face Hub, tokenizers, and pretrained models.
Knowledge of LLM fine-tuning, model evaluation, PEFT/LoRA, and open-source LLMs.
Experience with Agentic AI frameworks such as LangChain, LangGraph, AutoGen, or CrewAI.
Understanding of NLP and/or Computer Vision.
Experience with REST APIs, PostgreSQL/MongoDB, and cloud platforms such as AWS, Azure, or GCP.
Knowledge of Docker, Kubernetes, CI/CD, MLOps, and production AI deployments.
Work arrangement
Yes
More openings worth a look
Recently tracked roles with full details and direct application links.