AI & Analytics Lead

Weatherford; Dubai; On-site; AED 293,000 - 441,000; Full time

Job summary

A leading global energy services company is looking for an AI Expert to advance AI adoption in oilfield services. The role involves spearheading AI-driven solutions, developing models tailored to oilfield data, and collaborating with operations and engineering teams. Ideal candidates have strong AI / ML expertise, a background in computer science or engineering, and experience in the energy sector. Join to make a significant impact in digital transformation efforts in the MENA region.

Qualifications

• Proven experience in applying AI / ML and data science in industrial or energy domains.
• Hands-on experience with productionizing models and managing MLOps pipelines.
• Ability to analyze and process large time-series and unstructured datasets.

Responsibilities

• Partner with stakeholders to identify high-value use cases for AI.
• Design, develop, and deploy AI / ML models tailored to oilfield data.
• Lead POCs and pilot deployments to demonstrate tangible business outcomes.

Skills

AI / ML expertise

Strong coding skills in Python

Excellent communication skills

Cross-functional collaboration

Data analysis能力

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related discipline

Tools

FastAPI

PyTorch

Docker

CI / CD

Job description

Job Overview

In MENA, we are pioneering digital transformation in oilfield services, integrating AI and advanced analytics into drilling, production, reservoir management, and support functions. As part of this journey, we are seeking an AI Expert to accelerate adoption and create tangible business impact. The AI Expert will spearhead the development and deployment of AI-driven solutions across Weatherford MENA operations. The ideal candidate will combine strong technical AI / ML capabilities with an ability to understand oilfield services challenges and deliver business-relevant solutions. This role requires close collaboration with operations, engineering, IT, and functions teams to ensure AI projects deliver measurable efficiency, cost, safety, and sustainability gains.

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.

LI-MD1

ABOUT US

Weatherford is a leading global energy services company. Our world-class experts partner with customers to optimize their resources and realize the full potential of their assets. Across our operating locations, including manufacturing, research and development, service, and training facilities, operators choose us for strategic solutions that add efficiency, flexibility, and responsibility to any energy operation.

When you join Weatherford, you instantly feel connected to something bigger - a community that is grounded by our core values and driven to create innovative solutions for our customers. We celebrate each other's successes, grow together, and learn from each other constantly. Individually, we are impressive. Together, we are unstoppable. We are One Weatherford.

Weatherford is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.