Job-Link is seeking a skilled Data Engineer or Machine Learning Specialist.

Job-Link's client is revolutionizing HVAC systems management with their innovative approch and product. Their IoT solution gathers various data enabling efficient monitoring and analysis. They are seeking a skilled Data Engineer with a strong background in machine learning, to join their team and contribute to their mission.

The company is fully owned and funded by a well-established family owned company.
The company is fully operational, has fully developed and well-known products in the market that has a substantial positive impact on the environment and the fight to make the world a greener and cleaner place. The company team consists of 4 people, 3 developers and a CEO.
Currently they have sold their solution to +400 busses in Scandinavia, and have talks with partners all over Europe, UAE and North America.

Position Overview:

A Data Engineer specializing in machine learning to enhance the HVAC system's data analysis for our client. The ideal candidate will have a passion for leveraging data to uncover patterns and anomalies that can lead to improved system performance and efficiency.

Key Responsibilities:

Data Analysis: Analyze time series data collected from HVAC systems to detect patterns and anomalies based on outside temperature load.

Feature Engineering: Develop and implement feature engineering strategies to optimize model performance and accuracy.

Machine Learning Implementation: Design and implement machine learning models for anomaly detection and predictive analysis, utilizing tools such as Azure ML, Isolation Forest, and LSTM networks.

Collaboration: Work closely with product and the engineering team to integrate machine learning models.

Data Visualization: Create dashboards together with the frontend developer and visualizations to present findings and insights to non-technical stakeholders.

Monitoring and Optimization: Continuously monitor model performance and make necessary adjustments to improve accuracy and reliability.

Position location: Metropolitan Area, outer Copenhagen.