Generative AI Engineer

5 days ago

Pune, Maharashtra, India Allianz Services Full time

Job Description: Lead Generative AI Engineer Overview 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. 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 Responsibilities 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. Qualifications 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

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