Lead GenAi

1 day ago

Pune, Maharashtra, India Allianz Services Full time
- Job Title - Lead Generative AI - Data Scientist
- Experience Range - 05 to 10 Years
- Job Location - Trivandrum or Pune

Overview

We are seeking a highly skilled and motivated Generative AI Engineer to lead initiatives at the intersection of AI agents, LLMOps, and scalable ML systems. You will play a pivotal role in building and deploying cutting-edge GenAI solutions, with a focus on autonomous agents and agent frameworks. If you're passionate about the evolving landscape of generative models, eager to push the boundaries of what's possible, and ready to lead a high-performing team — we want to hear from you.

Key Responsibilities

- Design, develop, and implement AI agents capable of autonomous decision-making and action using frameworks like LangChain, langGraph, AutoGen, CrewAI, or other opensource frameworks such as mistral.
- Architect, design, and deploy LLM-based applications across various domains.
- Develop, experiment with, and validate Gen AI applications aligning with business objectives.

- Model Development: Design, train, and optimize state-of-the-art generative AI models, including fine-tuning, prompt engineering, and model alignment techniques.

- Integrate AI developments for productive use in existing workflows and solutions
- Contribute to continuously improve and optimize AI solutions to enhance their accuracy, scalability, optimize computational and cost efficiency, and compliance with rules and standards.
- Drive initiatives in LLMOps, including prompt management, fine-tuning workflows, evaluation, monitoring, and versioning.
- Implement robust ML algorithms and pipelines to support GenAI functionality.
- Ensure scalability, reliability, and performance of AI-driven solutions.
- Collaborate with cross-functional teams including product, infrastructure, and design.
- Mentor junior engineers and provide technical leadership to the AI team.
- Stay ahead of the curve on research and innovation in generative AI and ML.

Required Skills & Experience

- 6+ years of experience in AI/ML, with 2+ years in Generative AI or LLMs.
- Hands-on experience with agent frameworks (LangChain, AutoGen, CrewAI, LLAMAIndex etc.).
- Strong foundation in machine learning algorithms, NLP, and deep learning.
- Proven expertise in LLMOps tools and techniques
- Experience in AI Agents and Agentic AI is an added advantage
- Experience is in Mistral Ai, AWS bedrock models [Claude , Nova, etc.,]
- Experience in pydantic
- Solid understanding of model deployment, containerization (Docker), and cloud platforms (AWS, GCP, or Azure).
- Deep hands-on experience with Transformers and transformer-based
- Programming proficiency in Python and relevant ML/AI libraries (PyTorch, Huggingface, etc.).
- Experience leading and mentoring engineering teams.
- Excellent communication, problem-solving, and collaboration skills.

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