AI Optimization Engineer

CEU Carbon Engineering ULC; United States; On-site; USD 80,000 - 100,000; Full time

Job summary

CEU Carbon Engineering ULC is looking for an individual to apply optimization, control techniques, and machine learning in the United States. This role involves working with experts to build practical solutions and manage data systems efficiently.

The ideal candidate should have a Master's degree in Engineering or Applied Mathematics, extensive knowledge of optimization methods, and proficiency in Python and Git.

Experience with AWS, Docker, and Kubernetes is a plus, offering opportunities to contribute to innovative projects in the oil and gas industry.

Qualifications

• Master’s degree is required.
• Strong knowledge of optimization methods is essential.
• Experience in modeling and advanced control techniques is needed.

Responsibilities

• Apply advanced optimization and AI techniques.
• Collaborate with experts to identify relevant information.
• Create and manage data pipelines and APIs.
• Provide practical solutions based on scientific principles.
• Present findings clearly to the business.

Skills

Optimization methods

Dynamic and static system modeling

Advanced control techniques

Machine learning

Python

Git

Communication skills

Teamwork

Time management

Education

Master’s degree in Engineering, Applied Mathematics, or related field

Tools

AWS

Docker

Kubernetes

Job description

Essential Job Responsibilities

• Apply advanced continuous and combinatorial optimization, control, artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and improve decision systems/processes.
• Collaborate with subject‑matter experts to select the relevant sources of information and formulate the right questions and problems.
• Identify what data is available and relevant, leveraging and creating data input and output pipelines and application programming interfaces (APIs).
• Provide feasible and real‑life practical solutions, demonstrating scientific qualities of clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness.
• Present and depict the rationale of findings in easy‑to‑understand terms for the business.
• Present back results that contradict common belief, if needed.

Qualifications

• Master’s degree in Engineering, Applied Mathematics, or a related field.
• Strong knowledge of optimization methods, including dynamic, parametric, and non‑parametric approaches.
• Experience in dynamic and/or static system modeling.
• Experience designing and implementing advanced control techniques such as Model Predictive Control (MPC) and adaptive control.
• Knowledgeable in system identification and state estimation methods such as Kalman filtering and Moving Horizon Estimation (MHE).
• Knowledgeable in machine learning concepts and their application to modeling, optimization, or control problems.
• Proficient in Python.
• Experience with Git version control.
• Possession of excellent oral and written communication skills.
• Effective team player who takes an active role in team responsibilities.
• Strong time management skills.
• Ability to work with minimum supervision.

Additional Qualifications

• Knowledge of the oil and gas industry.
• Familiarity with AWS or similar cloud platforms.
• Familiarity with Docker for containerization and Kubernetes for orchestration.

All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.