Generative AI Engineer

2 weeks ago

Pune, Maharashtra, India Allianz Services Full time

Job Description: Lead Generative AI Engineer Overview

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We are seeking a highly skilled and experienced Generative AI Developer to lead our advanced AI solutions team. The ideal candidate will have a strong foundation in Generative AI, Machine learning, and Artificial intelligence, with a proven ability to develop cutting-edge AI solutions that transform business processes and drive innovation.

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The Lead GenAI Engineer will develop and deploy advanced Generative AI Products, including fine-tuning V/LLM models and implementing (Graph) RAG (Retrieval-Augmented Generation) solutions. This hands-on role requires deep technical expertise and as part of the GenAI team will implement and optimize Gen AI agents

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Responsibilities :

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  • Technical Leadership: Lead and mentor a team of AI developers, providing technical guidance and innovative problem-solving strategies. Drive multiple POC developments parallelly. ">
  • Solution Design/Development: Architect and develop advanced generative AI solutions, including large language models, multimodal AI systems, and complex generative workflows. Implement state-of-the-art GenAI & agents technologies and best practices. 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. Embed automated processes (LLMOps) ">
  • Implement scalable, secure, and cost-effective Gen AI solutions to meet current and future business needs. Prototype and benchmark on the AI/ML stack, LLMOps, and AgentOps frameworks. Troubleshoot AI application issues, working closely with infrastructure teams and application owners. ">
  • Foster innovation within the team to support a collaborative work environment. ">
  • Project Management: Oversee the entire project lifecycle from conceptualization through development, deployment, and continuous improvement. ">
  • Collaboration: Identify opportunities to apply the latest advancements in Large Language Models (LLMs) and Agents Work with our cross-functional team to deliver features in an iterative manner Educate the organization both from IT and the business perspectives on Generative AI. ">
  • Research and Innovation: Stay at the forefront of generative AI advancements, exploring emerging technologies and implementing innovative AI solutions. ">
  • Performance Optimization: Develop strategies to improve model efficiency, reduce computational costs, and enhance AI system performance. ">
  • Ethical AI Implementation: Ensure responsible AI development, addressing bias, fairness, and ethical considerations in generative AI systems. ">
  • Client Engagement: Translate complex technical concepts into actionable insights for stakeholders and clients. ">
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Qualifications :

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  • Masters in computer science, Artificial Intelligence, Machine Learning, or a related field. ">
  • Overall 10+ yrs of experience out of which minimum 6 years of experience in AI development, with a strong focus on generative AI technologies. ">
  • 5+ years in at least 2 AI domains: NLP, NLG, Computer Vision, Machine Learning, etc. ">
  • Proven record of accomplishment of leading and delivering successful AI development projects. ">
  • Expert-level proficiency in programming languages such as Python, with strong software engineering skills. ">
  • Deep expertise in machine learning frameworks and libraries (TensorFlow, PyTorch, Hugging Face). ">
  • Key Technical Competencies : Generative AI Technologies: Large Language Models (LLMs), Diffusion Models, Transformer Architectures, Multimodal AI Systems Extensive knowledge of LLM Python libraries: langchain, langGraph, promptflow, semantic kernel, Autogen, graphRag, promptflow Good software engineering background, (developing application, API, frontend integration, security best practices, experience with fastAPI, Asyncio). Distributed Computing, GPU Optimization, Containerization (Docker, Kubernetes) is a plus Strong experience with atleast 1 of Cloud AI Services (AWS, GCP, Azure) – Preferably Azure Strong experience with Gen AI model deployment and monitoring (CI/CD, Weight & Biases GitHub pipelines is a plus). Advanced understanding of security, compliance, and ethical considerations in AI - Bias Detection and Mitigation, Responsible AI Principles, Model Interpretability, Ethical AI Frameworks - Advanced Machine Learning Techniques - Transfer Learning, Few-shot and Zero-shot Learning, Prompt Engineering, Model Fine-tuning Preferred Qualifications - Strong communication and collaboration abilities - Experience with innovative generative AI research - Publications or contributions to open-source AI projects - Experience in domain-specific AI applications (healthcare, finance, insurance) - Demonstrated ability to explain complex AI concepts to non-technical stakeholders Additional Skills - Exceptional problem-solving and analytical thinking - Ability to work in fast-paced, innovative environments - Commitment to continuous learning and technological advancement ">

{lang_code} : en

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