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Lobellia Logo Lobellia · IT - Software Development

Ai/ml Engineer

Bahrain · Job Posted March 13, 2026
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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 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 Responsibility

  • 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
  • Lead project implementation from data ingestion and feature engineering to model deployment and monitoring
  • Lead and mentor a team of process engineers and machine learning engineers
  • 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

Requirements

  • Bachelor’s/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, 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
  • Proven experience in Generative AI, RAG and vector embeddings for optimized knowledge retrieval and decision-making, and multi-agent systems for industrial applications
  • Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making
  • Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams
  • Proficiency in Python and visual basic coding is essential
  • Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras
  • Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards
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