Technical Lead, Machine Learning

Technical Lead Machine Learning

Landis+Gyr is a leading global provider of integrated energy management solutions. We measure and analyze energy utilization to generate empowering analytics for smart grid and infrastructure management, enabling utilities and consumers to reduce energy consumption. Our innovative portfolio of software services and intelligent sensor technology is a key driver in decarbonizing the grid. With sales of USD 1.5 billion in FY 2021, Landis+Gyr employs around 6,500 talented individuals across five continents.

In partnership with multiple stakeholders, you will focus on developing and delivering leading-edge analytics solutions using Google Cloud. You will also be responsible for engineering the ML solutions required to create fully operational products for our utility customers. As a member of our engineering practice, you will work within a DevOps culture in a small team of data and ML engineers within our product team.

**Responsibilities:**

• Design and implement scalable ML solutions using Google Cloud and new technologies
• Support the research and analytical process to deliver business insights
• Develop advanced statistical and machine learning models
• Collaborate with other team members to build data-driven use cases
• Work with Agile and DevOps techniques for delivery
• Contribute to the Google Cloud practice and knowledge exchange program

**Skills & Experience:**

• Experience with Google Cloud, BigQuery, BigQuery ML, and Vertex AI
• Programming skills in SAS, SQL, R, or Python
• End-to-end Data Engineering experience
• Knowledge of advanced statistical and machine learning techniques
• Familiarity with ML Ops, CI/CD pipelines, and test automation
• Experience with utility time series data is a plus

If you are driven and enthusiastic about working in a dynamic, cross-functional, and international environment, we look forward to meeting you. Click "Apply Now" to join our team as a **Technical Lead Machine Learning**!