Senior Executive, AI Engineer

Job description: 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. • Master’s degree or advanced studies in fields like Machine Learning, Data Science, or Computational Linguistics is preferred. • Certifications or demonstrable experience in specific AI technologies, such as TensorFlow or PyTorch, and familiarity with cloud services used for AI deployments.