AI & Analytics Lead Weatherford International Oil Field Services

Key Responsibilities:

• Partner with operations, engineering, and business stakeholders to identify high-value use cases for AI in drilling, completions, production, functions (finance, supply chain, HR, HSE etc).
• Design, develop, and deploy AI/ML models tailored to oilfield data (e.g., drilling parameters, production logs, equipment telemetry, geoscience data).
• Build and operationalize ML pipelines and LLM-backed solutions (e.g., RAG assistants for engineers, predictive maintenance models, AI copilots for technical workflows).
• Ensure robust data governance, security, and compliance with regional regulations (UAE, Saudi, Algeria, etc.).
• Integrate AI solutions with Weatherford s digital platforms, field applications and enterprise systems.
• Lead POCs and pilot deployments to demonstrate tangible business outcomes, then scale across MENA operations.
• Train and mentor internal teams to adopt AI tools and develop citizen AI capabilities.
• Stay at the forefront of emerging AI technologies (LLMs, generative AI, edge AI) and adapt them to MENA oilfield use cases

Qualifications:

• Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or related discipline.
• Proven experience applying AI/ML and data science preferably in industrial or energy domains (oil & gas preferred).
• Strong coding skills in Python; familiarity with FastAPI, PyTorch, LangChain/LangGraph, vector DBs, Docker, CI/CD.
• Hands-on experience with productionizing models and managing MLOps pipelines.
• Ability to analyze and process large time-series and unstructured datasets (logs, images, sensor data).
• Excellent communication and cross-functional collaboration skills; ability to explain AI concepts to non-technical stakeholders.

Preferred Qualifications:

• Domain expertise in Oilfield Services is a plus (e.g., drilling optimization, predictive maintenance, production forecasting).
• Proficiency in programming languages such as Python, R, or Java.
• Experience with the following tech stack: Python, FastAPI, PyTorch, LangChain/LangGraph, vector DBs (pgvector/FAISS), Docker, CI/CD, Postgres, OpenAI/Anthropic + OSS LLMs, Langfuse, OpenTelemetry.
• Experience with GPU acceleration, model optimization, and edge deployment for field environments.
• Exposure to cloud environments (AWS/Azure/GCP) and hybrid/on-prem deployments.
• Awareness of data privacy, PII handling, and regional compliance requirements.
• Ability to design lightweight UIs (React/TypeScript) for internal users.
• Familiarity with generative AI use cases for technical documentation, knowledge management, and training.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.