Machine Learning Engineer

Job description

The Sympower data team is dedicated to delivering forecasting and optimisation services, self-service data capabilities and business intelligence (BI) dashboards. We collaborate closely with other Engineering Teams to seamlessly integrate data within the broader Sympower software ecosystem.

As a Machine Engineer at Sympower, your primary focus will be to deliver insightful forecasts and optimisations to stakeholders, leveraging your comprehensive skill set in machine learning and engineering. The role involves designing and fully implementing scalable, reusable machine learning software, and data pipelines for specific projects. It also entails engaging in innovative, experimental initiatives, and embracing an iterative approach to develop and test new ideas for the benefit of the stakeholders.

While we have established foundational machine learning services and a data platform, we are now eagerly seeking a skilled professional to expand and fine-tune our forecasting and optimisation services. Your role will involve crafting new machine learning products and refining existing ones, ensuring the consistent enhancement and robustness of our capabilities at Sympower.

What is in it for you

We are committed to creating an inclusive, values-based culture where everyone feels that they belong and has the opportunity to do meaningful work. We offer a market competitive compensation package, including but not limited to:

  • 30 Days Paid Holiday Leave
  • 1 Day Paid Wellness Leave
  • 1 Day Paid Birthday Leave
  • Paid Maternity and Partner Leave
  • Pawternity Leave
  • Mental Health and Wellbeing Support
  • Remote Office Budget
  • Internet Allowance
  • Development Plan & Budget
  • Stock Appreciation Rights
  • 2 Days Paid Volunteer Leave

Learn about all of our benefits on our careers page.

What you will do

During your daily job, you will:

  • Take ownership of implementing production-worthy, scalable machine learning models, with a focus on forecasting and optimisation use cases.
  • Conduct machine learning experiments to demonstrate the value of forecasting and optimisation models to stakeholders. Conduct machine learning experiments to demonstrate the value of forecasting and optimisation models to stakeholders
  • Develop batch and streaming machine learning pipelines with the full Databricks stack, with a strong focus on software engineering best practices.

You will work with our tech stack: Databricks (AWS), Python, (Py)Spark, Delta Lake, Pulsar, ****Postgres, and Fivetran.

Leveraging your effective communication skills, you will collaborate with the Data Product Manager and stakeholders on how the models can bring the most value to Sympower. Your role will involve close collaboration with other members of the data team, predominantly other Machine Learning and Data Engineers and occasionally Analytics Engineers, ensuring end-to-end delivery to the other Sympower teams, the Sympower platform and our customers.

What you will need

  • Experience with building scalable machine learning models
  • Familiar with methods for improving model performance and designing and evaluating metrics that help evaluate the model performance in a business context
  • Experience with ELT data pipeline development/big data processing, preferably with Python (Spark).
  • A software-engineering mindset, approach and skillset.
  • Familiar with the Lake House concept for data storage.
  • Experience with git, CI/CD, testing frameworks, and DevOps.
  • Good stakeholder communication.
  • Ownership of the projects you work on: navigating discussions with stakeholders and providing your input for the team’s technical and product roadmap.
  • Affinity for working in a fast-paced/growing scale-up company. You are a fast learner and can adapt quickly to new circumstances.
  • Fluent in English and other languages are nice to have
  • Nice to have:
  • Econometrics/operations research background or relevant experience in trading/optimisation algorithms implementation
  • Having worked in the energy sector
  • Showing interest for the domain/context you apply ML to
  • Experience with MLOps

Who we are

Sympower is accelerating the global transition towards ‘net-zero’ by helping to build smarter, cleaner renewable energy systems. Using our proprietary software platform, we help balance the supply and demand of electricity across international energy networks.

We help businesses, grid operators, asset owners and other energy stakeholders around the world reduce their carbon emissions, integrate more distributed renewable energy resources, and generate new revenue streams by participating in demand-side response services.

Learn more about us in this video.

In 2022, Sympower became a certified B Corp, which shows the company is meeting high standards of verified performance, accountability, and transparency across 5 impact areas: governance, workers, community, environment, and customers.

Sympower is an equal opportunity employer. We encourage a diverse workforce and are committed to creating an inclusive environment for all team members.

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