Join a leading renewable energy company as a Senior Data and ML Engineer. You'll shape the technical direction of the enterprise data platform and work on innovative MLOps frameworks and ML data pipelines.
This role is with a South African company dedicated to managing utility-scale renewable energy power plants. As a Senior Data and ML Engineer, you will play a crucial role in setting the technical direction for the company's enterprise data platform. Your expertise will help shape the architecture and ensure that the data infrastructure supports the company's goals in the renewable energy sector.
In your day-to-day work, you will be responsible for architecting MLOps frameworks and developing ML data pipelines. You will define standard patterns for algorithm development and library usage, ensuring that the processes are efficient and scalable. Your technical mastery in advanced SQL and Python will be essential as you work on enterprise data modeling and implement ETL/ELT processes.
The ideal candidate for this position is someone with a strong background in MLOps and production ML integration. You should have a passion for AI readiness and be comfortable working in a fast-paced environment where innovation is key. This role is perfect for someone looking to take on a leadership position in a company that values sustainability and technological advancement.
Key responsibilities include: • Architecting and implementing MLOps frameworks • Developing and maintaining ML data pipelines • Defining standards for algorithm development • Collaborating with cross-functional teams to ensure data integrity and availability
To succeed in this role, you should have at least five years of experience in data engineering or machine learning, with a proven track record of working on scalable data solutions. Your ability to communicate complex technical concepts clearly will also be vital in this collaborative environment.
You'll be taken to the original listing on PNet to apply.