Senior AI/ML Engineer | Industrial Real-Time Analytics

Yokogawa; Abu Dhabi; On-site; AED 350,000 - 650,000; Full time

Job summary

Yokogawa invites senior AI/ML leaders to drive industrial analytics across oil & gas operations. You will architect end-to-end ML systems, mentor a cross-disciplinary team, and deliver scalable AI solutions integrated with PLC/DCS/SCADA environments.

Responsibilities include defining strategy, building real-time analytics, ensuring governance, and collaborating with process engineers to translate operational challenges into AI-driven value.

Qualifications

• Bachelor’s/master’s in computer science, AI, Machine Learning, or related field.
• 8+ years of hands‑on experience in AI/ML, with at least 3 years in a senior or lead role.
• Proven project delivery experience in industrial or energy sectors, with a preference for oil & gas.
• Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and Keras.
• Proven experience in Generative AI, RAG and vector embeddings for optimized knowledge retrieval and decision-making, and multi‑agent systems for industrial applications.
• Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.
• Proficiency in handling large‑scale data, time‑series data, and sensor/IoT data within industrial contexts.
• 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.
• Strong analytical, problem‑solving, and communication skills, with a proven ability to work across teams.

Responsibilities

• 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.
• 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.
• Oversee data gathering, cleaning, and preprocessing from diverse sources (e.g., sensors, IoT devices, DCS, SCADA systems).
• Implement robust CI/CD pipelines to streamline model development, testing, deployment, and updates.
• Develop and optimize algorithms for real-time analytics and predictive maintenance in upstream, midstream, and downstream operations.
• Perform model performance tuning to ensure reliability and scalability under production environments.
• Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.
• Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.
• Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.
• Proactively address potential risks related to data privacy, model bias, and operational safety.

Skills

Python

Leadership

Problem solving

Communication

Education

Bachelor’s/Master’s in computer science, AI, ML

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

Docker

Kubernetes

Git

Job description

Yokogawa invites senior AI/ML leaders to drive industrial analytics across oil & gas operations. You will architect end-to-end ML systems, mentor a cross-disciplinary team, and deliver scalable AI solutions integrated with PLC/DCS/SCADA environments.

Responsibilities include defining strategy, building real-time analytics, ensuring governance, and collaborating with process engineers to translate operational challenges into AI-driven value.