Machine Learning Software Engineer - Power Systems

January 5

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Sea Change Advisors

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Sea Change Advisors is a talent acquisition partner specializing in climate tech and cleantech sectors. They focus on providing specialized and flexible recruitment solutions to help startups and investors secure top talent needed to accelerate the transition to a low-carbon economy. With a mission-driven approach, Sea Change offers services that include search, advisory, and intelligence, especially for early-stage companies in the energy, mobility, and infrastructure markets. They are dedicated to transforming talent acquisition by embedding themselves as true business partners for their clients, helping to drive significant growth and impact in the climate sector.

Venture Capital • Consulting • Talent Advisory • Recruiting • Climate Tech

1 - 10 employees

🎯 Recruitment

⚡ Energy

📋 Description

• Design and lead the implementation of robust and scalable data science and machine learning architecture integrated into the product platform. • Working with the RD and Data Science teams, deploy prototype models to production. • Re-train and re-deploy models based on quality parameters collected in continuous monitoring. • Define and monitor quality parameters for ML models in production. • Work closely with data science teams to take newly developed models into production. • Optimize the performance, scalability, and reliability of ML Models and generative AI systems. • Design, implement, and evaluate large-scale ML models and generative AI systems in the energy domain and applications. • Design and implement ML toolchains and data platforms to scale ML solutions in production. • Collaborate with other machine learning engineers, data scientists, and domain experts to understand the requirements and challenges of natural language processing and generation tasks. • Define best practices for data engineering, feature engineering, and model deployment.

🎯 Requirements

• Master's degree or PhD in Electrical, computer science, power systems, machine learning, natural language processing, or a related field. • Strong Python Software Engineering skills. • Prior experience in operationalizing machine learning workflows. • Hands-on experience with multi cloud technologies. • Prior experience in the electricity & energy domain is preferred. • Strong experience in developing and deploying large-scale ML Models and generative AI systems using frameworks such as numpy, scipy, pandas, scikit-learn, TensorFlow, PyTorch, Hugging Face, or OpenAI). • Proficient in Python and other programming languages for data analysis and machine learning. • Excellent problem-solving, analytical, and communication skills. • Passionate about natural language processing, generative AI, and creating impactful solutions.