Machine Learning & AI Engineer - Drilling Services

                                    
Job Purpose

      Our engineering teams are at the forefront of the technical challenges facing today’s Energy Industry. As a Machine Learning & AI Engineer you design, develop, and deploy intelligent models and AI-driven systems for real‑world applications. This role focuses on applied machine learning, deep learning, and intelligent agent systems, with an emphasis on data quality, interpretability, and scalable deployment.

The ideal candidate has hands‑on experience building production‑ready ML models, working with time‑series, multimodal, and sensor data, and collaborating across research, engineering, and product teams to translate advanced algorithms into reliable solutions.

Roles & Responsibilities

SAFETY, SECURITY & COMPLIANCE 
•    Maintains the highest standards of corporate governance, ensuring that all activities are carried out ethically and in compliance with the Company’s Security, Compliance & HSE policies, Management System, relevant laws, regulations, standards & industry practices, and complies with the Company’s Rules to Live By
•    Places Quality, Health & Safety, Security, and protection of the Environment as core values while never intentionally placing employees, our processes, customers, or the communities in which we live and work at risk

QUALITY 
•    Responsible for being familiar with the Company's Quality policies and takes an active role in the compliance and improvement of Weatherford’s Management System
•    Maintains service quality as immediate priorities when working across all areas of the business and continually seeks areas for improvement

KEY RESPONSIBILITIES
•    Design, develop, train, and validate machine learning and deep learning models for classification, prediction, anomaly detection, and decision‑making tasks
•    Build end‑to‑end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and optimization
•    Develop and deploy AI agent systems, including multi‑agent orchestration, tool calling, and workflow automation
•    Apply time‑series modeling and sensor data analytics to solve predictive maintenance, health assessment, or operational intelligence problems
•    Implement Retrieval‑Augmented Generation (RAG) and LLM‑based systems with a focus on factual accuracy and hallucination reduction
•    Ensure model interpretability, explainability, and performance monitoring for production use
•    Collaborate with cross‑functional teams (research, engineering, product) to integrate models into real‑world systems
•    Document methodologies, experiments, and results clearly for technical and non‑technical stakeholders

COMMUNICATION 
•    Maintains effective communications with all key stakeholders both internal and, where appropriate, external
•    Communicates effectively with others, verbally and in writing and presents thoughts and ideas in a clear, concise manner to an audience using visual elements.  
•    Provides feedback during technical reviews and accepts and acts on feedback for their own technical work. 
•    Demonstrated ability to work across inter-departmental boundaries.
•    Maintain professional working relationships with team members.
•    Designs test fixtures and tooling, writes test procedures, sets up tests, performs tests, and provides insight in case test fails.

FINANCIAL 
•    All employees have an accountability to the organization to be financially responsible whether they are in charge of a function budget or simply their own expenses
•    Costs incurred should be within approved budget, processed within agreed time frames & following the relevant financial policy and procedure

PEOPLE & DEVELOPMENT 
•    Employees have a responsibility for developing their own careers within the Company including completing all necessary function, compliance & business standards training to enhance their knowledge, skills, and experience
•    Employees should engage on a regular basis with their line manager to discuss their personal performance, objectives and opportunities to enhance their skills and experience to support their career potential

VISION & LEADERSHIP 
•    Demonstrates leadership, ethical behavior, and adherence to Weatherford standards at all times
•    Understands and participates on project team roles and responsibilities for projects. 
•    Committed to continuous learning; readily giving and receiving advice and guidance.
•    Make decisions that have minor impact to business independently, and able to review minor decisions made by other members of the team that are in accordance with established engineering principles and practices. 
•    Applies engineering principles and theory to solve problems within the scope of project work and tasks and takes ownership of and responsibility of tasks under limited supervision.

Experience & Education

REQUIRED 
•    Ph.D. or Master’s degree in Machine Learning, Computer Science, Engineering; Ph.D. preferred.
•    Related technical field (or equivalent applied research and industry experience).  

Knowledge, Skills & Abilities

CORE MACHINE LEARNING & AI
•    Strong experience in Machine Learning and Deep Learning, including classical ML and neural network‑based approaches
•    Hands‑on experience with time‑series data, multimodal data, and sensor‑based datasets
•    Experience with transformer architectures, mixture‑of‑experts (MoE), and attention mechanisms
•    Knowledge of anomaly detection, predictive modeling, and remaining useful life (RUL) estimation
•    Experience with reinforcement learning and multi‑agent systems

AI SYSTEMS & LLMS
•    Experience building AI agents and intelligent workflows
•    Practical experience with Large Language Models (LLMs), prompt engineering, and tool/function calling
•    Experience implementing RAG pipelines using vector search and structured knowledge retrieval

ENGINEERING & TOOLING
•    Strong programming skills in Python; familiarity with C/C++ and MATLAB is a plus
•    Experience with ML frameworks and libraries such as PyTorch, scikit‑learn, NumPy, pandas
•    Experience with FastAPI or API‑based ML services
•    Familiarity with workflow automation tools and ML experimentation frameworks

Travel Requirement:
This role may require domestic and potentially international travel of up to:  10-25%