Objective
Develop and optimize AI models and infrastructure to deliver cutting-edge AI applications and chatbots.
Key Responsibilities
- Develop AI models using the latest advancements in LLMs and ensure their seamless integration into application frameworks.
- Optimize existing AI systems and models for improved efficiency and accuracy.
- Collaborate closely with data engineers and architects to implement effective data strategies for model training and evaluation.
- Stay current with AI research by attending conferences and workshops, bringing innovative ideas back to the team.
- Conduct rigorous testing and validation of AI models to ensure they meet quality standards.
- Write clean, manageable code and maintain proper documentation for all implemented AI systems.
- Participate in peer code reviews and contribute to team knowledge by providing expertise on coding standards and best practices.
Requirements & Skills
- Deep technical expertise in AI and machine learning, particularly in building and deploying large language models and transformers.
- Experience with RAG pipelines, vector embedding, and tokenization techniques, crucial for developing sophisticated AI systems.
- Strong knowledge of in-context learning, fine-tuning, zero-shot learning, few-shot learning, and prompting techniques.
- Proficiency in programming languages like Python, and experience with ML frameworks such as TensorFlow, PyTorch, and libraries from Hugging Face.
- Experience with cloud services (AWS, Azure, Google Cloud) and on-premises deployments, focusing on scalability and security of AI deployments.
- Ability to work collaboratively in a fast-paced, team-oriented environment
Educational Qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, or related technical fields.
