Our organization is seeking a skilled AI and Data Engineering Specialist to join our team.
The ideal candidate will have expertise in designing and implementing AI and ML models, data pipelines, and machine learning solutions.
We are looking for someone with strong programming skills in Python, experience with data querying and processing tools, and knowledge of GenAI / LangChain / OpenAI API.
The successful candidate will have excellent analytical and problem-solving skills, as well as the ability to work cross-functionally in technical and investment teams.
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.
- 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.
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).Knowledge of GenAI / LangChain / OpenAI API for automation or analytical applications.Familiarity with cloud platforms (Azure, AWS, or GCP) and CI / CD pipelines for ML deployment.Benefits :
The successful candidate can expect a competitive compensation package and opportunities for career growth and development.