Machine Learning Engineer for Energy Sector

5 days ago

Calgary, Alberta, Canada AMBYINT Full time
About Ambyint

Ambyint is a leading SaaS company that provides an Industrial IoT platform, leveraging physics-influenced AI models and closed-loop control to enable autonomous operations. Our platform plays a crucial role in the climate technology evolution and production optimization for the energy industry.


About the Role

You will collaborate with cross-functional teams as a Data Scientist at Ambyint to develop machine learning models and data-driven insights enhancing oil and gas well performance. Working with vast datasets from industrial systems, you will apply advanced algorithms to solve complex problems and drive innovative solutions for the energy sector.

  • Apply engineering principles and domain knowledge with data science techniques to solve complex challenges in artificial lift optimization
  • Develop, operationalize, and maintain advanced machine learning models focusing on increasing production efficiency and reducing downtime
  • Analyze large, complex datasets from IoT sensors and industrial systems to identify anomalies and opportunities for operational improvements
  • Communicate complex data insights and deliver technical presentations to internal teams explaining model functionality, results, and recommendations for improvement
  • Collaborate as part of a cross-functional team to understand business problems, identify requirements, and create data-driven solutions
Requirements
  • Bachelor's degree or higher in engineering discipline, Mechanical or Petroleum preferred
  • Demonstrated experience with oil and gas production operations such as artificial lift design/installation/optimization, production surveillance, failure identification, or reservoir engineering
  • Knowledge of data science and machine learning methods ideally within industrial, IoT, or energy sectors
  • Familiarity with SCADA data, IoT data pipelines, and industrial control systems
  • Proficiency in Python with a solid understanding of machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Experience working with large-scale datasets, SQL, and distributed computing platforms
  • Strong foundation in statistics, optimization, and predictive modeling
  • Excellent problem-solving skills and ability to work both independently and in a collaborative environment
What Sets You Apart

The satisfaction of delivering high-quality results comes from seeing your impact.

Efficiency and delivering on commitments are core to your approach.

Collaboration and continuous learning are essential parts of your professional growth.

You are curious, creative, and driven by solving complex problems.

Humility and openness to feedback guide your personal and professional development.What Sets Us Apart

We are a scale-up company combining the excitement of a start-up with proven solutions driving positive environmental impact.

We value our diverse team and commitment to creating a rewarding professional experience.Benefits

This position offers a competitive compensation package with an estimated salary range of $120,000 - $180,000 annually.

We offer a hybrid working environment with opportunities for professional growth and development.

A competitive benefits package includes health insurance, retirement savings, and paid time off.

We prioritize diversity, equity, and inclusion, fostering a culture where everyone feels valued and empowered to contribute their best work.

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