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Benefits offered by this job
Company equity options
Competitive salary
Job summary
A renewable energy tech company in North Carolina is seeking a Machine Learning Engineer to build data pipelines and deliver innovative solutions for solar panel optimization. The ideal candidate has a strong programming background, experience with data services, and familiarity with deep learning frameworks. This full-time role offers a competitive salary between $110k and $140k, along with equity options of up to 2%. Join us in shaping the future of renewable energy.
Qualifications
Core contributor on ML projects focusing on data ingestion and transformation.
Experience in designing and implementing scalable data pipelines.
Strong coding skills; hands-on position with significant coding.
Responsibilities
Implement data pipelines focused on Machine Learning applications.
Develop datasets for POCs to showcase new insights.
Partner with cross-functional teams for technology solution development.
Skills
ML project contributions
Data pipeline design
Programming proficiency (Java, Python or Scala)
SQL understanding
Statistical modeling
Deep learning frameworks experience
Data cleansing and transformation
Kubernetes experience
Docker experience
Education
B.S or M.S in Computer Science, Mathematics, Statistics or equivalent
Tools
Keras
TensorFlow
PyTorch
Docker
Kubernetes
Job description
A renewable energy tech company in North Carolina is seeking a Machine Learning Engineer to build data pipelines and deliver innovative solutions for solar panel optimization. The ideal candidate has a strong programming background, experience with data services, and familiarity with deep learning frameworks. This full-time role offers a competitive salary between $110k and $140k, along with equity options of up to 2%. Join us in shaping the future of renewable energy.