Lead AI​/ML Engineer

** 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.
** About the Team
** Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow".  We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.

We are looking for a Lead AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil & gas industry. In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.
** Job Overview
** You will be part of a Project Delivery team to:
Conduct Site survey of the customer requirements and develop
* 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.
* Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.
** 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).
* Implement robust CI/CD pipelines to streamline model development, testing, deployment, and updates.
** Optimization & Real-time Analytics
*** 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.
** Stakeholder Collaboration & Communication
*** 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.
** Compliance & Risk Management
*** Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.
* Proactively address potential risks…