Enhance energy solutions with ACENSI as a Data Engineer specializing in MLOps in Brussels. In this role, you will develop Machine Learning models to forecast the production of renewable energy assets.

We seek a data engineer skilled in Python who understands the intricacies of MLOps. Your collaboration with Quants and Data Scientists will drive the efficiency of our machine learning models, and your experience with AWS and Databricks will be a significant asset.

Key Responsibilities: • Create forecasting models for renewable energy production • Collaborate with cross-functional teams on ML processes • Conduct feature preparation, training, tuning, and inference • Leverage AWS services for ML modeling • Implement and optimize strategies using Databricks

Requirements: • 10+ years of expertise in Python V3 • 8-10 years in Big Data Architecture • Less than 3 years of experience with Databricks • 5-8 years of advanced Machine Learning experience • Robust analytical skills to navigate challenges

Utilize your data engineering skills to innovate within the renewable energy sector. #J-18808-Ljbffr

📌 Data Engineer Focusing on MLOps (Winnipeg)
🏢 ACENSI
📍 Winnipeg