<p><p><b>Hexaware</b> is seeking a highly skilled and experienced Generative AI Expert to join our team in Chennai.
This is a full-time (FTE) role where you'll be instrumental in developing and implementing cutting-edge GenAI solutions.
We are looking for passionate individuals who can drive innovation and solve complex business problems using state-of-the-art AI technologies.</p><br/><p><b>Job Details :</b></p><br/><p><b>Designation :</b> GenAI :</b> 6 to 11 :</b> Chennai Type :</b> Full-time Grade :</b> G5 to Period :</b> 0 to 20 days (Candidates currently serving their notice period are :</b></p><br/><p>- Lead the development of innovative Generative AI solutions and applications.<br/><br/></p><p>- Design and implement Large Language Model (LLM) architectures and advanced Prompt Engineering techniques.<br/><br/></p><p>- Develop and fine-tune AI models using frameworks like PyTorch, TensorFlow, and Hugging Face.<br/><br/></p><p>- Collaborate with cross-functional teams to integrate GenAI capabilities into various products and services.<br/><br/></p><p>- Utilize cloud platforms such as AWS and Azure to deploy and manage scalable AI solutions.<br/><br/></p><p>- Research and stay updated with the latest advancements in GenAI and Multi-modal AI to drive continuous innovation.<br/><br/></p><p>- Mentor and guide junior team members on best practices in GenAI development.</p><br/><p><b>Required Skills :</b></p><br/><p>- <b>Generative AI :</b> Strong, hands-on experience in developing and deploying GenAI models.<br/><br/></p><p>- <b>Python :</b> Expert-level proficiency in Python programming.<br/><br/></p><p>- <b>Cloud :</b> Solid experience with cloud platforms, specifically AWS and/or Azure.<br/><br/></p><p>- <b>LLM & Prompt Engineering :</b> In-depth knowledge of LLM architectures and advanced prompt engineering.<br/><br/></p><p>- <b>Frameworks :</b> Hands-on experience with at least one major deep learning framework, such as PyTorch, TensorFlow, or Hugging Face.<br/><br/></p><p>- <b>Multi-modal AI :</b> Familiarity with concepts and applications of multi-modal AI.</p><br/></p> (ref:hirist.tech)