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The Solutions Engineer ensures customer satisfaction with Corva's services, aids onboarding, tracks platform usage, and resolves software issues. They collaborate across departments to enhance customer experience and provide training.

The Solutions Engineer guides customers in implementing Corva solutions, ensuring satisfaction, onboarding new business, and facilitating training workshops, while tracking usage and resolving issues.

MENA-based analysts provide operational support, conducting data QA/QC checks, customer coordination, and platform testing. Responsibilities include data entry, resolving discrepancies, reporting, and improving data workflows while ensuring system operations.

The Drilling Data Analyst monitors and analyzes drilling data to ensure accuracy and timeliness for real-time decision-making while supporting customers and optimizing operations.

The Staff Accountant will manage daily accounting operations, handling accounts receivable and payable, ensuring accurate financial records, and assisting with month-end close processes.

The Frac Data Analyst ensures accuracy in well data for real-time decisions, provides customer support, conducts QAQC checks, and develops operational procedures.

The Solutions Engineer guides customers to implement Corva's Directional Drilling solutions, providing training, support, and optimizing customer operations through effective communication and collaboration.

The Associate Solutions Engineer guides customers on implementing Corva solutions, ensuring satisfaction and onboarding support while collaborating with various teams to optimize operations.

Lead research, design, and deployment of production-grade ML and deep learning models for anomaly detection, forecasting, and optimization. Build scalable ML pipelines, deploy and monitor models in AWS SageMaker, collaborate with product and engineering teams, mentor junior scientists, and drive architecture and MLOps best practices to deliver measurable operational impact in drilling and geoscience domains.

Design, build, and maintain backend services and automation for data pipelines and internal tooling. Integrate AI/ML features, own CI/CD and observability, lead code reviews, and collaborate with cross-functional teams to ensure scalable, reliable production systems.