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AI/ML Engineer

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Develop dynamic process simulation models of plant scenarios

  • Run exploratory data analysis and pre-process plant data historian data

  • Build soft sensors and reinforcement learning models for plant control

  • Design AI models to troubleshoot plant upsets and support asset performance management

  • Deploy AI models into industrial platforms integrated with PLC, DCS and SCADA

From the employer’s posting
Develop dynamic process simulation model to simulate various plant scenarios.
Analyze data historian, exploratory data analysis and data pre-processing.
Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.
Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.
Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s/master’s in chemical engineering, AI, Machine Learning, or related field.
  • Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.
  • 6+ years of hands-on experience in AI/ML and process simulations projects execution.
  • Demonstrated knowledge of oil & gas processes (upstream, midstream, downstream), instrumentation, and control systems.
  • Proven Expertise to develop process dynamic simulations using PFDs and P&IDs and trouble shooting.
  • Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.
Qualification wording
Bachelor’s/master’s in chemical engineering, AI, Machine Learning, or related field.
Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.
6+ years of hands-on experience in AI/ML and process simulations projects execution.
Demonstrated knowledge of oil & gas processes (upstream, midstream, downstream), instrumentation, and control systems.
Proven Expertise to develop process dynamic simulations using PFDs and P&IDs and trouble shooting.
Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.
Education & alternatives
Requirements - Bachelor’s/master’s in chemical engineering, AI, Machine Learning, or related field. - 6+ years of hands-on experience in AI/ML and process simulations projects execution.
Apply at Yokogawa Electric

Posting record

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Status in our records
Live
First seen by us
Sep 8, 202658 days ago
Recorded sightings
105
Last seen by us
Nov 5, 2026
Employer says posted
Mar 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 58

Similar jobs usually come down between day 6 and day 70.

From 4,452 similar postings that came down. Coming down is not always a hire.

Yokogawa Electric is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Keras
  • NumPy
  • pandas
  • scikit-learn
  • TensorFlow
Where the posting names them
Programming & Frameworks - Languages: Proficiency in Python and visual basic coding is essential. - ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.
- Languages: Proficiency in Python and visual basic coding is essential. - ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras. Data Engineering & Integration

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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.

Job Description

We are looking for an AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil & gas industry. In this role, you will take part in 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: 

  • Develop dynamic process simulation model to simulate various plant scenarios.
  • Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations.
  • Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.
  • Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.
  • Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.
  • 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

Technical Leadership & Mentorship

  • Develop dynamic process simulation model for various plant scenarios accurately.
  • Analyze data historian, exploratory data analysis and data pre-processing.
  • A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.
  • Advocate best practices in Data analysis, Data pre-processing and machine learning model development.

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.

Requirements

  • Bachelor’s/master’s in chemical engineering, AI, Machine Learning, or related field.
  • 6+ years of hands-on experience in AI/ML and process simulations projects execution.
  • Proven project delivery experience in industrial or energy sectors, with a preference for oil & gas.
  • Demonstrated knowledge of oil & gas processes (upstream, midstream, downstream), instrumentation, and control systems.
  • Proven Expertise to develop process dynamic simulations using PFDs and P&IDs and trouble shooting.
  • Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.
  • Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.
  • Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.
  • Strong experience with classical machine learning, deep learning and reinforcement learning projects.
  • Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.
  • Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.

Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)

Programming & Frameworks

  • Languages: Proficiency in Python and visual basic coding is essential.
  • ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.

Data Engineering & Integration

  • Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.

Personal Attributes (Special personal characteristics/ interpersonal skills)

  • Consistently demonstrates exceptional technical skills, competence, and productivity.
  • Deeply passionate about transforming emerging technologies into practical, industrial solutions.
  • Possesses excellent communication and interpersonal abilities.
  • A fast learner with a strong aptitude for collaboration and teamwork.

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture.  We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status.  We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances.  Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

Are you being referred to one of our roles? If so, ask your connection at Yokogawa
about our Employee Referral process!

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