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Solutions Manager -AI & ML -Digitalization Project

Pay
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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
  • Design and develop AI/ML models for predictive, prescriptive and cognitive maintenance

  • Architect end-to-end ML systems from data ingestion to deployment and monitoring

  • Integrate AI models with DCS, PLC, SCADA, historians and SAP systems

  • Lead and mentor a multidisciplinary team of data scientists and engineers

  • Define the AI/ML strategy and roadmap for oil and gas solutions

From the employer’s posting
Design and develop AI /ML models that support asset performance management across various maintenance strategies, including predictive, prescriptive, and cognitive maintenance.
Architect end-to-end ML systems, from data ingestion and feature engineering to model deployment and monitoring.
Ensure AI models are scalable and deployable within industrial platforms, integrating with DCS, PLC, SCADA, Historians, EAM, MES/MOM, SCM, and SAP systems.
Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.
Define the AI/ML strategy and roadmap for oil & gas solutions, aligning with Yokogawa’s digital transformation objectives.

What you’ll bring

All qualifications

Core experience

  • Knowledge and experience in implementing AI /ML Project
  • Knowledge in advanced level for programing in Python, C++, Java, C#, SQL, Matlab etc
  • Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and familiarity Keras, XGBoost.
  • 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.
  • Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.
Qualification wording
Knowledge and experience in implementing AI /ML Project
Knowledge in advanced level for programing in Python, C++, Java, C#, SQL, Matlab etc
Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and familiarity Keras, XGBoost.
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.
Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.
Education & alternatives
Qualification and Experience - A bachelor’s degree in data science / AI or Software engineering with specialization in data science and having strong process knowledge. Master’s degree is preferable. - Minimum 15 years of experience.
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
Oct 21, 2025

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

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  • C#
  • Java
  • MATLAB
  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • Hadoop
  • SAP
  • Spark
  • Keras
  • PyTorch
  • TensorFlow
  • XGBoost
  • C++
Where the posting names them
- Knowledge and experience in implementing AI /ML Project - Knowledge in advanced level for programing in Python, C++, Java, C#, SQL, Matlab etc - Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and familiarity Keras, XGBoost.
- 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. - Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.
- Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making. - Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model deployment and data processing. - Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.
- Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams. - Familiarity with distributed data processing and big data technologies (Spark, Hadoop), plus knowledge of time-series databases (e.g., InfluxDB, OSIsoft PI) is an added advantage. - Knowledge of working on DCS platforms.
- 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 DCS, PLC, SCADA, Historians, EAM, MES/MOM, SCM, and SAP systems. - To oversee the expansion of our advanced automation and digital transformation solutions (AI/ML) and services into new asset developments and brownfield optimization projects across several industrial markets
- Knowledge in advanced level for programing in Python, C++, Java, C#, SQL, Matlab etc - Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and familiarity Keras, XGBoost. - Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.

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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 Purpose

  • 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.
  • Design and develop AI /ML 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
  • Use AI /ML 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 DCS, PLC, SCADA, Historians, EAM, MES/MOM, SCM, and SAP systems.
  • To oversee the expansion of our advanced automation and digital transformation solutions (AI/ML) and services into new asset developments and brownfield optimization projects across several industrial markets

Key Responsibilities & Accountabilities

  • Knowledge of software development process and technical skills: Lead AI /ML Engineer must know the technical aspects of projects to identify risks, propose immediate solutions and provide guidance for Digital transformation solutions.
  • 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.
  • The objective is to understand your customer’s business objectives to align with Yokogawa capabilities and solutions. In this role you will lead other Yokogawa key contributors in an overall strategy to implement solutions that will contribute to customer business objectives in a way that is meaningful and measurable in the areas of AI/ML solutions.
  • Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.
  • Make strategy, implement initiatives & measures to help position AI/ML solutions to achieve long term sustainability and profitability on establishing site services orders, management of warranty & post-delivery support for YUAE business.
  • Report to Department Manager-Advanced Solutions Department on job progress, issues and resolutions and manpower-mapping for effective delivery of solution.
  • Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.

Qualification and Experience

  • A bachelor’s degree in data science / AI or Software engineering with specialization in data science and having strong process knowledge. Master’s degree is preferable.
  • Minimum 15 years of experience.

Competencies

  • 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.
  • Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.
  • Proactively addresses potential risks related to data privacy, model bias, and operational safety.
  • Capable of managing field surveys, designing automation functions, and ensuring compliance with project quality standards.
  • Capable of overseeing multiple projects, ensuring the successful delivery of projects involving advanced automation technologies including AI/ML and managing all aspects of project execution
  • Deep technical knowledge in process solutions and expertise in specialty Chemicals & Process, including understanding Chemical Properties, Manufacturing Processes, Operations and Industry-specific challenges
  • Stay updated on the latest trends, technologies, and regulations in the specialty chemicals & Process industry and provide insights that influence product/service/solution development and strategic planning
  • Customer Focus with Strategic Mindset
  • Proven track record of field experience and technical skills
  • Excellent verbal and written communication skills
  • Good leadership skills

Skills

  • Knowledge and experience in implementing AI /ML Project
  • Knowledge in advanced level for programing in Python, C++, Java, C#, SQL, Matlab etc
  • Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and familiarity Keras, XGBoost.
  • 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.
  • Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.
  • Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.
  • Familiarity with distributed data processing and big data technologies (Spark, Hadoop), plus knowledge of time-series databases (e.g., InfluxDB, OSIsoft PI) is an added advantage.
  • Knowledge of working on DCS platforms.
  • Consistently demonstrates exceptional technical skills, competence, and productivity.
  • Possesses excellent communication and interpersonal abilities.
  • This position is best filled by someone with a firm understanding and knowledge in AI /ML with data science background with having process Plant Operations -Onshore /Offshore/Refining -Upstream, Midstream & downstream with Process Automation/Process Control in both discrete and continuous manufacturing.

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.

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