Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required)

Experience

With a solid foundation in data modeling, I have worked extensively with containerization tools like Docker and Kubernetes, as well as distributed computing technologies including Spark and Scala. Additionally, I am well-versed in various database management systems such as GraphDB, MongoDB, and both SQL and NoSQL databases. My expertise also extends to system automation and security.

Skills

I am proficient in several programming languages including Python, R, MATLAB, and C++. I am also familiar with working on cloud platforms like AWS, Azure, and Google Cloud, as well as implementing microservices architecture.

Nice-to-Have Requirements

In addition to the aforementioned skills, I also have experience with AI/ML applications such as predictive maintenance, load forecasting, and optimization.