We are the North American market leader in low-carbon energy solutions. Certarus is spearheading the energy transition by distributing compressed natural gas (CNG), renewable natural gas (RNG), and hydrogen. Our integrated platform offers customers a steady supply of safe, reliable, and economical energy that lowers operating costs and improves environmental performance without the need for pipeline infrastructure.
Our operations are supported by state-of-the-art technologies, including SCADA systems, Postgres databases, and the Azure data stack (Azure ML/AI, Azure Databricks ML, Azure Functions, Azure Event Hub, and Azure Data Factory). We pride ourselves on leveraging innovative solutions to ensure reliable, efficient, and safe gas distribution.
Position Overview:
We are seeking a motivated Summer Co-op Student with a strong background in AI and machine learning to help develop a predictive and preventative maintenance system to mitigate unplanned equipment failures. This role offers a unique opportunity to work on a real-world project that directly impacts our operational efficiency. You will collaborate with cross-functional teams and key stakeholders to gather requirements and design, implement, test, and deploy ML models that enhance our maintenance strategies.
Key Responsibilities:
- Requirement Gathering: Work closely with stakeholders (engineering, reliability and operations) to understand operational challenges and maintenance needs and translate them into technical requirements.
- Model Development: Develop, train, and test machine learning models to predict and prevent equipment failures.
- Data Integration: We will utilize data from our SCADA systems and Postgres databases and process it through the Azure data stack (including Azure ML/AI, Azure Databricks ML, Azure Functions, Azure Event Hub, and Azure Data Factory).
- Deployment & Monitoring: You will assist in deploying the models into our production environment and monitoring their performance to ensure they effectively reduce unplanned downtime.
- Collaboration: Partner with cross-functional teams, including engineering, reliability, operations and IT, to seamlessly integrate the predictive maintenance system into existing operations.
- Documentation & Reporting: Document project progress, model performance, and technical challenges; prepare reports and presentations for technical and non-technical audiences.
- Continuous Improvement: Stay current with AI/ML trends and industry best practices to enhance the system’s capabilities continuously.
Qualifications:
- Educational Background: Currently pursuing a degree in Computer Science, AI/ML or Data Science
- Programming Skills: Proficiency in Python with hands-on experience in ML libraries and data processing tools.
- ML & AI Libraries/Technologies:
- Machine Learning Frameworks: Experience with libraries such as scikit-learn, TensorFlow, Keras, and PyTorch.
- Data Processing: Familiarity with Pandas and NumPy for data manipulation and analysis.
- Cloud-Based AI/ML Platforms: Practical experience with Azure ML/AI and Azure Databricks ML.
- Database and Data Integration: Proficiency in Python and SQL and experience working with structured and unstructured data.
- Stakeholder Engagement: Demonstrated ability to work collaboratively with stakeholders to gather, refine, and translate business requirements into technical solutions.
- Communication Skills: Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
- Problem-solving: A proactive, analytical mindset with a strong focus on innovative solutions and continuous improvement.
Preferred Skills:
- Prior experience in predictive maintenance or industrial IoT projects.
- Knowledge of SCADA or time-series systems and their integration in industrial settings.
- Familiarity with additional ML libraries such as XGBoost, LightGBM, Prophet Or PyOD is a plus.
- Understanding of the gas supply chain, compressors, and pressure regulator systems.
- Experience in data engineering and building automated data pipelines.
What We Offer:
- Hands-On Experience: Engage in a project that directly impacts our core operations.
- Professional Growth: Work alongside experienced professionals and gain insights into advanced AI/ML applications in an industrial context.
- Networking Opportunities: Build professional relationships within the company and the broader industry.
- Competitive Compensation: Receive competitive pay and potential for future opportunities within our organization.
Certarus embraces diversity and equal opportunity in the way it impacts our continuous business success. As a Core Value of our Winning Team, we believe in surrounding ourselves with passionate and talented people, and consider all experiences, backgrounds, qualifications, and merits to create stronger teams with a diverse and inclusive culture. Certarus is and will remain an equal opportunity employer.Certarus offers a competitive compensation package, including benefits and retirement plans.
Above all, we offer unlimited career advancement opportunities with a dynamic, rapidly growing organization.
