Renewable Energy ML Engineer — Impactful & Growth

Linden South LLC; Albuquerque (NM); On-site; USD 130,000 - 199,000; Full time

Benefits offered by this job

Health, dental and vision insurance

Retirement plans with employer match

Training programs and certifications

Job summary

Linden South LLC in Albuquerque, NM is hiring a Machine Learning Engineer to design, train, and deploy ML models that enhance renewable energy efficiency and reliability. You will collaborate with data scientists and engineers to integrate solutions into existing infrastructure.

The role emphasizes scalable ML pipelines, model monitoring, and continuous learning, with opportunities for professional growth and impact in the renewable energy sector.

Qualifications

• Master's degree or equivalent in CS/EE.
• Proven ML model development and deployment experience with Python and libraries.
• Experience with TensorFlow or PyTorch and cloud deployment.
• Strong problem-solving and collaboration in fast-paced environments.
• Excellent written and verbal communication; passion for renewable energy.

Responsibilities

• Develop and implement machine learning models to improve energy production efficiency.
• Collaborate with data scientists, engineers, and stakeholders to understand project requirements and deliver technical solutions.
• Design and maintain machine learning pipelines for data processing, model training, and deployment.
• Monitor and optimize the performance of deployed models to meet business objectives.
• Stay up-to-date with ML advancements and apply new techniques to projects.
• Document technical processes and share knowledge with the team.

Skills

Python

Problem-solving

Communication

Team collaboration

Renewable energy interest

Education

Master's degree in CS/EE or related

Equivalency/experience

Tools

TensorFlow

PyTorch

AWS

Google Cloud

ML pipelines

Job description

Linden South LLC in Albuquerque, NM is hiring a Machine Learning Engineer to design, train, and deploy ML models that enhance renewable energy efficiency and reliability. You will collaborate with data scientists and engineers to integrate solutions into existing infrastructure.

The role emphasizes scalable ML pipelines, model monitoring, and continuous learning, with opportunities for professional growth and impact in the renewable energy sector.