About the Role
This is an exciting opportunity for a Lead AI/ML Engineer to join Yokogawa based in Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates. The role is offered on a Full-time basis and is ideal for professionals at the Mid-Senior level level looking to make a meaningful impact in the AI & Machine Learning space.
Not just a job, but a career
Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
Key Responsibilities
- AI/ML Strategy & Solution Design
- Define the AI/ML strategy and roadmap for oil & gas solutions, aligning with Yokogawa’s digital transformation objectives.
- Architect end-to-end ML systems, from data ingestion and feature engineering to model deployment and monitoring.
- Technical Leadership & Mentorship
- Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.
- Advocate best practices in model development, version control, MLOps, and engineering excellence.
- Data Pipeline & Model Lifecycle Management
- Oversee data gathering, cleaning, and preprocessing from diverse sources (e.g., sensors, IoT devices, DCS, SCADA systems).
Skills Required
- Job Overview
- You will be part of a Project Delivery team to:
- Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.
- Demonstrated knowledge of oil & gas processes (upstream, midstream, downstream), instrumentation, and control systems.
- Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.
- Experience with SCADA, DCS, PLCs, smart sensors, IoT platforms, and Historians.
- Programming & Frameworks
- ML Libraries: Expert-level knowledge of TensorFlow, PyTorch, Scikit-learn; familiarity with Keras, XGBoost.
Preferred Qualifications
- Design and develop AI models that support asset performance management across various maintenance strategies, including predictive, prescriptive, and cognitive maintenance.
- Implement Analytical AI techniques (supervised/unsupervised learning, reinforcement learning) for predictive maintenance, defect elimination, and asset strategy optimization.
- Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.
- Use AI to analyze trends and patterns, make intelligent recommendations, and automate decision support systems.
- Develop intelligent recommendations systems that improve maintenance processes, criticality assessments, and reliability analytics.
- Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.
Why Consider This Role
Joining Yokogawa as a Lead AI/ML Engineer puts you at the forefront of the AI & Machine Learning industry in the UAE. The UAE continues to be one of the fastest-growing markets in the region, offering unparalleled career growth, a multicultural work environment, and exposure to world-class projects. This role offers the chance to work with an established team and develop skills that are in high demand globally.
How to Increase Your Chances of Getting Selected
Resume Tips
Tailor your resume to highlight experience directly relevant to Lead AI/ML Engineer roles. Quantify your achievements wherever possible (e.g., “grew revenue by 30%”, “reduced processing time by 40%”). Keep it to 1–2 pages and ensure it’s ATS-optimized.
ATS Keywords to Include
Lead AI/ML Engineer, Yokogawa, Abu Dhabi, Python, TensorFlow, PyTorch, Machine Learning, Deep Learning, NLP, Computer Vision, Model Training, MLOps, Data Science
Interview Preparation
Brush up on ML fundamentals, be ready to explain your approach to model selection and evaluation. Prepare to discuss a project where you solved a real business problem with ML.
Skill Suggestions
Candidates who invest time in building relevant certifications and demonstrated project experience stand out. Consider any industry-standard certifications relevant to AI & Machine Learning to strengthen your application.
How to Apply
Click the button below to view the full job listing and apply directly through LinkedIn. Make sure your LinkedIn profile is complete and up-to-date before applying.
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