Renewable Energy ML Engineer — Impactful AI & Growth

Redwood Advanced Solutions; Austin (TX); Presencial; USD 110.000 - 153.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Retirement match

Professional development

Descripción de la vacante

Redwood Advanced Solutions is seeking a Machine Learning Engineer to join our team in Austin, TX. This full-time role offers a salary range of $110,000 to $153,147, with a comprehensive benefits package including health insurance and employer-matched retirement plans.

You will design, train, and deploy ML models to optimize energy production and consumption. You will preprocess data, evaluate model performance, and collaborate with data scientists and engineers to integrate models into existing

Formación

• Proven experience in machine learning.
• Each item ≤ 140 characters.
• Experience with model deployment and evaluation.

Responsabilidades

• Develop and deploy machine learning models to optimize energy production and consumption.
• Collaborate with data scientists and engineers to improve technologies.
• Data preprocessing, model training, and performance evaluation.
• Stay up-to-date with advances in ML/AI and apply them to improve models.
• Work with software teams to deploy models, ensuring scalability and security.
• Collaborate on diverse renewable energy projects with cross-functional teams.

Conocimientos

Machine learning

Data analysis

Deep learning

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Matplotlib

Seaborn

AWS

Google Cloud

Problem solving

Team collaboration

Educación

Bachelor's or Master's degree in CS/DS/Statistics

Herramientas

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Matplotlib

Seaborn

Descripción del empleo

Redwood Advanced Solutions is seeking a Machine Learning Engineer to join our team in Austin, TX. This full-time role offers a salary range of $110,000 to $153,147, with a comprehensive benefits package including health insurance and employer-matched retirement plans.

You will design, train, and deploy ML models to optimize energy production and consumption. You will preprocess data, evaluate model performance, and collaborate with data scientists and engineers to integrate models into existing