Senior AI Developer

Job Overview

• Support cross-functional teams to drive Al project execution, translating business requirements into technical specifications. Ensure alignment with business objectives through effective communication and methodologies like Agile and Scrum.
• Architect and design Al solutions from inception to deployment, leading the development and implementation of advanced Al / ML
• models.
• Support the development of Al governance frameworks, advocating for responsible Al, risk management, and best practices in data and analytics.
• Champion Al communication and education initiatives, ensuring employees at all levels understand the capabilities, benefits, and implications of Al. Drive change management efforts to foster a culture of Al adoption and continuous learning
• Apply expertise in data science methods, including Large Language Models, Machine Learning, Reinforcement Learning, Deep Learning, and Optimization.
• Train, deploy, and manage Al / ML models and solutions, such as logistic regression, decision trees, clustering, Bayesian networks, and Generative Al techniques, including Retrieval Augmented Generation (RAG), fine-tuning, and prompt engineering.
• Apply best practices in software engineering, including Cl / CD, version control, test-driven development, and MLOps / DevOps.
• Implement MLOps practices to build end-to-end pipelines and deploy models in production.
• Mentor junior team members and participate in code and architecture reviews.
• Conduct data cleansing activities and data quality management, including performing feasibility studies to ensure data suitability for Al / ML solutions.

Qualifications