As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced techniques such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and performance of the systems you create. Collaboration with cross-functional teams will be essential to ensure the successful integration of AI technologies into existing workflows and applications.

Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.
- Continuously evaluate and improve existing AI models and systems to ensure optimal performance.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models.
- Good To Have Skills: Experience with cloud-based AI services.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with natural language processing techniques and tools.
- Experience in developing and deploying chatbots and conversational agents