Senior AI​/ML Engineer

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.

• 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 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.

• 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.

• Programming:
  Proficiency in Python and Visual Basic.
• ML Libraries:
  Expert-level knowledge of Numpy, Pandas, Scikit-learn, Tensor Flow, and Keras.
• Integrate AI/ML solutions into…