Industry: Oil & Gas
City/Country: Bahrain, Bahrain
Location: Bahrain
We are looking for a Senior AI/ML Engineer for one of our clients with the following details:
**Location: Bahrain
Expected Start Date: ASAP
Employment Status: Single status, Family stats (employee, spouse and 2 kids)
Working schedule: 5 Days a week**
Qualification and Experience Required:
- Bachelor's or Master's in Chemical Engineering, AI/ML, or related field.
- 10+ years of hands‑on AI/ML experience, including 4+ years in a senior or lead role.
- Proven project delivery in industrial or energy sectors (oil & gas preferred).
- Strong understanding of process engineering, instrumentation, and control systems.
- Experience developing dynamic process simulations using PFDs and P&IDs.
- Expertise with large‑scale, time‑series, and sensor/IoT data.
- Strong background in supervised, unsupervised, deep learning, and reinforcement learning.
- Experience with Generative AI, RAG, vector embeddings, and multi‑agent systems.
- Cloud deployment experience (AWS, Azure, or GCP) and edge AI for real‑time operations.
Technical Skills
- Python and Visual Basic.
- Numpy, Pandas, Scikit‑learn, TensorFlow, Keras.
- Experience integrating AI/ML into industrial control systems and dashboards.
Personal Attributes
- Strong analytical and problem‑solving skills.
- Excellent communication and collaboration abilities.
- Passion for applying emerging technologies to real‑world industrial challenges.
- Fast learner with a proactive, team‑oriented mindset.
We are seeking a Senior AI/ML Engineer with strong technical depth and leadership experience to deliver advanced AI solutions in complex industrial environments. You will work with cross‑functional teams to build scalable models, optimize operations, and drive data‑driven decision‑making across large‑scale process facilities.
Key Responsibilities
Technical Delivery
- Develop dynamic process simulation models and plant scenario analyses.
- Perform exploratory data analysis, data preprocessing, and trend identification.
- Build classical ML models, soft sensors, and reinforcement learning solutions for autonomous process control.
- Design AI systems for troubleshooting plant upsets and supporting asset performance management.
- Apply Generative AI, RAG, vector embeddings, and multi‑agent systems for industrial decision‑making.
- Deploy scalable AI models across industrial platforms and integrate with PLC, DCS, SCADA, historians, MES/MOM, EAM, SCM, and ERP systems.
- Ensure adherence to ethical AI principles, including fairness, transparency, and bias mitigation.
Leadership & Collaboration
- Lead and mentor ML engineers and process engineers.
- Guide development of accurate dynamic simulation models.
- Promote best practices in data analysis, feature engineering, and model development.
- Work closely with domain experts and project managers to translate operational challenges into AI‑driven solutions.
- Communicate technical outcomes clearly to both technical and non‑technical stakeholders.
Compliance & Risk
- Ensure solutions meet industry regulations, safety standards, and data governance requirements.
- Identify and mitigate risks related to data privacy, model bias, and operational safety.
**If Interested Kindly apply.