Do you want to work in a sustainable industry that transforms our daily lives? Landis+Gyr is a leading global provider of integrated energy management solutions. We measure and analyse energy utilization to generate empowering analytics for smart grid and infrastructure management, enabling utilities and consumers to reduce energy consumption. Our innovative and proven portfolio of software, services and intelligent sensor technology is a key driver to decarbonize the grid. Having avoided more than 9 million tons of CO2 in 2021 and committed to achieve carbon neutrality by 2030,
Landis+Gyr manages energy better - since 1896. Are you looking for an exciting opportunity and the chance to be our next climate hero? Then join us! As part of our community, you'll enable and accelerate the energy transition. Leave your mark every day, following our mission to envisage a green future, because we are better together.
What will your day look like? Let's paint a picture. In partnership with multiple stakeholders, you will focus on developing and delivering leading edge analytics solutions using Google Cloud as well as engineering the ML Ops solutions required to get a fully operational product for our utility customers. As a member of our engineering practice, you will be part of a small team of data and ML engineers which is working with a DevOps culture within our product team.
Design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform
Define and support the research and analytical process to deliver business insights
Responsible for advanced statistical and machine learning modeling
Develop data driven analytical use cases in cooperation with other team members
Build Machine Learning models that can be used for asset health and grid operations
Work with Agile and DevOps techniques and implementation approaches in the delivery
Liaise and be part of our GCP practice, contributing in the knowledge exchange learning programme of the platform
Expectations for Skills & Experience Experience in GCP will be a plus, preferably using Google BigQuery or similar data warehouses
Programming experience with either SAS/SQL/R or Python
E2E Data Engineering and Lifecycle (including non-functional requirements and operations management)
Experience with advanced statistical and machine learning techniques
Ability to initiate and drive analytics projects from inception to delivery, knowledge of ML Ops to deliver ML operational solutions
Experience working with CI/CD pipelines and test automation will be a plus
Experience with utility time series data will be a plus
Why choose us? It's simple. Let's grow together and become even better. We truly believe in managing energy better. Together we are passionate and committed to ensuring a better future for all, our customers and the world around us. We simply love what we do. Join Landis+Gyr to be at the forefront of the energy transformation and support the future of our energy by decarbonizing for a sustainable world. As an equal opportunity employer, Landis+Gyr strives to attract and hire individuals with diverse background and skills. We welcome the diverse experience, background, unique identity and personality you bring with you. With diversity, equity & inclusion, we make the difference.
Meet us/About us If you have the drive and enthusiasm to accept this challenge and to work in a very dynamic, cross functional and international environment, we are looking forward to meeting you.
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