Senior AI/ML Engineer

Yokogawa; Muharraq; On-site; BHD 33,840 - 45,120; Full time

Job summary

Yokogawa in Bahrain seeks a Senior AI/ML Engineer with deep expertise and leadership skills in oil & gas solutions. You will drive advanced AI/ML model design, collaborating with cross-functional teams to optimize operations.

The ideal candidate has over 10 years of AI/ML experience, including significant project delivery in the energy sector. Skills in Python, cloud platforms, and dynamic simulation development will be crucial for success in this role.

Qualifications

• 10+ years of experience in AI/ML with at least 4 years in a senior role.
• Proven project delivery in the oil & gas sector.
• Experience in managing large-scale, time-series data.

Responsibilities

• Lead and mentor a team of engineers on AI projects.
• Implement AI solutions from data ingestion to model deployment.
• Advocate for best practices in data analysis and model development.

Skills

AI/ML expertise

Process simulation

Data analysis

Cloud platforms (AWS, Azure, Google Cloud)

Programming in Python

Education

Bachelor’s or master’s in chemical engineering, AI, Machine Learning, or related field

Tools

Numpy

Pandas

Scikit-learn

TensorFlow

Keras

Job description

Job Description

We are looking for a Senior 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

• 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

• Lead and mentor a team of process engineers and machine learning engineers.
• Implement AI projects from data ingestion and feature engineering to model deployment and monitoring.
• Review the process model and guide the team to develop plant scenarios in the dynamic simulation model accurately.
• Advocate best practices in data analysis, data pre-processing and machine learning model development.
• 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.
• Demonstrate knowledge of oil & gas processes (upstream, midstream, downstream), instrumentation, and control systems.
• Develop process dynamic simulations using PFDs and P&IDs and troubleshoot.
• Select relevant metrics for AI model evaluation.
• Design decision‑making systems with Generative AI, RAG, vector embeddings and multi‑agent systems for industrial applications.
• Deploy cloud‑based AI solutions (AWS, Azure, Google Cloud) and edge AI for real‑time decision‑making.
• Communicate and collaborate effectively across teams.

Requirements

• Bachelor’s or master’s in chemical engineering, AI, Machine Learning, or related field.
• 10+ years of hands‑on experience in AI/ML, with at least 4 years in a senior or lead role.
• Proven project delivery experience in industrial or energy sectors, preferably oil & gas.
• Demonstrated knowledge of oil & gas processes (upstream, midstream, downstream), instrumentation, and control systems.
• Experience developing process dynamic simulations using PFDs and P&IDs.
• Ability to manage large‑scale data, time‑series data, and sensor/IoT data in industrial contexts.
• Proficiency with real‑time data challenges and solutions for high‑stakes industrial environments.
• Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement), statistical modeling, and optimization techniques.
• Hands‑on experience with classical machine learning, deep learning and reinforcement learning projects.
• Experience with Generative AI, RAG and vector embeddings for knowledge retrieval and decision‑making.
• Expertise in cloud‑based AI deployments (AWS, Azure, Google Cloud) and edge AI for real‑time decision‑making.
• Strong analytical, problem‑solving, and communication skills with proven ability to collaborate across teams.

Knowledge / Professional Skills

• Programming: Proficiency in Python and Visual Basic.
• ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.
• Integrate AI/ML solutions into existing industrial control systems and operational dashboards.

Personal Attributes

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

Equal Opportunity Employer

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.