Key responsibilities:

• Transform data science prototypes into appropriate scale solutions in a production environment
• Orchestrate and configure infrastructure that assists Data Scientists and analysts in building low latency, scalable and resilient machine learning, and optimization workloads into an enterprise software product
• Combine expertise in mathematics, statistics, computer science, and domain knowledge to create advanced AI/ML models.
• Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate and scale models into the business framework.
• Identify data, appropriate technology, and architectural design patterns to solve business challenges using Chevron approved standard analytical tools and AI design patterns and architectures
• Partner with Data Scientists and Chevron IT Foundational services to implement complex algorithms and models into enterprise scale machine learning pipelines
• Run machine learning experiments and fine-tune algorithms to ensure optimal performance
• Consistently deliver complex, innovative, and complete solutions, driving them through design, planning, development, and deployment that simplify business processes and workflows to drive business value
• Work collaboratively with a large variety of different teams, including data scientists, data engineers, and solution architects from various organizations within business units and IT
• Provide mentorship for other team members