Partner with clients across industries to define and execute Gen AI strategies that align with their business goals
Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions and operational automation
Lead the development, deployment and monitoring of Gen AI/ML models with a strong focus on MLOps, operational scalability and model lifecycle management
Leverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance and enhanced customer engagement
Communicate AI strategies, opportunities and risks effectively with senior executives and cross-functional teams
Ensure AI solutions are fair, explainable and aligned with responsible AI practices
Work closely with legal and compliance teams to navigate industry regulations and other emerging AI governance frameworks
Stay ahead of industry trends, emerging Gen AI technologies and evolving regulatory landscapes
Contribute to pre-sales activities, including client presentations, product demos and responses to RFPs/RFIs
Requirements
Bachelor's or Master's degree in Data Science, Computer Science, Statistics or a related field; Ph.D. is a plus
Extensive experience in data science roles with demonstrable impact across the Oil and Gas industry; experience in IT consulting is highly desirable
Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and advanced AI applications
Strong understanding of AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and Streamlit
Proficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar tools
Proven track record of implementing responsible AI practices, addressing bias and ensuring model explainability
Strong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leaders
Familiarity with AI regulatory frameworks and other relevant compliance standards