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Tier-1 brand, metro Bangalore, and a mid-level (5y) generalist ML role increase applicant competition.
High: role requires niche subsurface oil and gas domain knowledge alongside AI expertise, limiting transferability.
Multiple mandatory filters: 5+ years, subsurface domain expertise, Python/C++, and cloud ML experience.
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Design and implement AI solutions specifically for subsurface exploration and production processes to optimize resource extraction.
Drive the innovation and application of advanced analytics, modeling, and AI technologies to improve decision-making, workflows, and automation in Chevron’s subsurface business.
Partner cross-functionally with subsurface practitioners and IT to deliver complete AI-driven solutions that simplify business processes and deliver measurable business value.
Bachelor's or Master's degree in Geosciences, Petroleum Engineering, Computer Science, or related field.
Minimum 5 years of hands-on experience developing and deploying AI solutions for complex business problems.
Domain knowledge in energy sector with working knowledge of Oil & Gas value chain (upstream, midstream, or downstream).
Proficiency in Python, C++, and experience with cloud AI/ML services such as Azure Machine Learning and Databricks.
Experienced in AI application within subsurface or energy domain, able to integrate domain knowledge with AI techniques.
Proven track record of driving complex AI projects through design, development, and deployment in cross-functional teams.
Capable of articulating AI value propositions and influencing stakeholders across organizational levels and geographies.