We are seeking a highly skilled AI/BI Engineer with a strong background in machine learning, AI, and business intelligence. The ideal candidate will be responsible for designing and deploying scalable AI and ML solutions that supports informed decision-making across the organization.

You will build and integrate AI-powered applications, particularly those leveraging large language models (LLMs), developing interactive dashboards, integrating LLMs into BI platforms and predictive models to enhance business insights and improve user experience.

• Minimum 8 years of experience in Data Science, AI Engineering, advanced analytics, or related roles; Oil and Gas industry experience is a plus.
• Experience in developing AI solutions using cloud platforms such as Microsoft Azure, AWS, or GCP, and tools like AI Foundry, Copilot Studio, Vertex AI Studio, and Databricks Mosaic AI.
• Design and deploy AI/ML models and LLM-powered applications to support business use cases and enhance decision-making.
• Integrate AI/ML models and LLM capabilities into BI platforms to enable natural language querying, automated insights, and conversational analytics.
• Evaluate and optimize LLM-generated responses to ensure accuracy and relevance.
• Deep understanding of AI/ML algorithms, LLMs, and modern AI architectures.
• Proficiency in Python, SQL and AI/ML frameworks such as Hugging Face, LangChain, scikit-learn, TensorFlow, PyTorch and Semantic Kernel etc.
• Develop compelling data visualizations and dashboards to support storytelling and real-time insights.
• Ensure compliance with data governance, model explainability, and ethical AI practices, including data lineage, access control, and sensitivity labeling.
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML workflows.
• Excellent communication skills, with an ability to effectively interact with business stakeholders and articulate complex technical concepts in a clear and understandable manner.

A bachelor’s degree in computer science, Data Science, Artificial Intelligence, or a related field.

Master’s degree preferred, especially with a focus on AI or Machine Learning