AI Engineer for Energy Solutions
About the Opportunity :
We are seeking a highly skilled AI engineer to join our team. This role is ideal for individuals who combine strong data science and software engineering expertise with a deep understanding of energy markets, operations, or asset optimization.
You will work closely with our technology teams to develop advanced models and data-driven products that enhance decision-making across exploration, production, asset management, and capital allocation.
Key Responsibilities :
- Design and implement AI and ML models that support investment analysis, production forecasting, equipment optimization, and market intelligence.
- Build end-to-end data pipelines for data ingestion, transformation, and feature engineering using structured and unstructured datasets.
- Develop and deploy machine learning solutions leveraging modern frameworks (PyTorch, TensorFlow, Scikit-learn etc.).
- Collaborate with engineers, investment analysts, and domain experts to translate business challenges into analytical solutions.
- Work on GenAI and NLP-based applications for unstructured document analysis, deal evaluation, and portfolio reporting.
- Write production-grade, scalable code for ML pipelines and APIs.
- Conduct exploratory data analysis, model validation, and performance tracking using statistical and visualization techniques.
- Support internal innovation projects on Agentic AI, MLOps, and generative intelligence for operational insights.
Qualifications :
Bachelor's or Master's degree in Computer Science, Data Science, Petroleum Engineering, Applied Mathematics, or related fields.3–7 years of hands-on experience in data science, AI engineering, or ML operations preferably in Oil & Gas, Energy, or Financial Services sectors.Proven ability to design and implement ML algorithms, time-series models, and optimization techniques.Strong programming skills in Python (Pandas, NumPy, Scikit-learn, PyTorch / TensorFlow).Experience with data querying and processing tools (SQL, PySpark, Databricks or Snowflake).Familiarity with cloud platforms (Azure, AWS or GCP) and CI / CD pipelines for ML deployment.Excellent analytical, problem-solving, and communication skills with ability to work cross-functionally in technical and investment teams.