Applied AI ML Senior Associate, Chief Data & Analytics Office

What you'll do

• Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions.
• Own end-to-end code development in Python for both proof-of-concept and production-ready solutions.
• Integrate generative AI within the ML platform using state-of-the-art techniques.
• Conduct experiments using the latest ML technologies and tune models for optimal performance.
• Drive adoption of modern ML infrastructure, tools, and best practices across the organization.
• Optimize system accuracy and performance by identifying and resolving technical inefficiencies.
• Ensure responsible AI practices, model governance, and compliance with regulatory standards.
• Communicate technical concepts and results to both technical and business stakeholders.

What we're looking for

• Master’s or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Minimum 3 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
• Experience programming in Python and using ML frameworks such as PyTorch or TensorFlow.
• Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
• Understanding of prompt engineering, agentic workflows, and orchestration frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
• Grasp of MLOps tools and practices including MLflow, model monitoring, and CI/CD for ML.
• Experience with high-performance computing, GPU infrastructure, and big data processing tools (preferred).