Manager - Generative AI

<p><p><b>Key Responsibilities :</b><br/><br/>- Lead and deliver <b>Generative AI projects from requirements gathering to deployment.</b><br/><br/>- Work hands-on with <b>LLMs, RAG models, LangChain, Hugging Face, OpenAI APIs</b>, and open-source frameworks.<br/><br/>- Deploy and manage AI models in <b>cloud-based</b> environments (AWS/Azure/GCP).<br/><br/>- Agile project management experience and strong experience in scrum methodologies and tools.<br/><br/>- Collaborate with cross-functional teams (data science, engineering, product, business) to ensure solution alignment.<br/><br/>- Support client discussions and act as <b>a technical POC</b> during project delivery.<br/><br/>- Ensure model scalability, performance optimization, and compliance with data security standards.<br/><br/>- Mentor junior team members in Generative AI tools, frameworks, and best practices.<br/><br/><b>Required Skills :</b><br/><br/>- 5+ years of overall experience in Data Science, ML Engineering, or Data Engineering.<br/><br/>- Minimum <b>2 years of hands-on experience delivering Generative AI projects.</b><br/><br/>- Strong expertise in LLMs, RAG, vector databases, prompt engineering, and open source AI models.<br/><br/>- Practical experience with cloud-based environments (AWS, Azure, or GCP).<br/><br/>- <b>Solid understanding of MLOps practices</b> for deploying and monitoring AI models.<br/><br/>- Strong problem-solving skills and ability to translate business needs into AI solutions.<br/><br/>- Excellent communication and stakeholder management :</b><br/><br/>- Bachelors/masters degree in computer science, Data Science, AI/ML, or a related field.<br/><br/><b>Key Competencies:</b><br/><br/>- Technical Expertise in Generative AI<br/><br/>- Hands-on Cloud & Deployment Knowledge<br/><br/>- Strong Problem Solving & Solutioning Skills<br/><br/>- Stakeholder Engagement & Client POC Capability<br/><br/>- Team Mentorship & Collaboration<br/><br/>- Effective Communication</p><br/></p> (ref:hirist.tech)