Machine Learning Engineer

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

As a Machine Learning Engineer at Linden South LLC in Albuquerque, New Mexico, you will play a crucial role in developing and implementing machine learning solutions to enhance the efficiency and sustainability of renewable energy systems. Your responsibilities will include designing and training machine learning models, analyzing data to identify patterns and insights, and collaborating with cross-functional teams to integrate these solutions into existing infrastructure. You will work closely with data scientists, engineers, and renewable energy experts to ensure that the machine learning models are not only accurate and efficient but also scalable and adaptable to different energy sources and environmental conditions. This role offers the opportunity to contribute to the growing field of renewable energy technology and make a significant impact on the sustainability of our planet.

You will design, implement, and deploy machine learning models to address complex challenges in renewable energy projects. Collaborate with cross-functional teams to align technical solutions with business needs, optimizing energy production and performance.

Work with a team in Albuquerque, NM, contributing to the company's renewable energy initiatives. The workplace is in Albuquerque, New Mexico, with a focus on innovative energy solutions.

The salary range for this position is $130,000 to $198,754, reflecting the competitive nature of the renewable energy sector. Employees can expect a comprehensive benefits package that includes health, dental, and vision insurance, as well as retirement plans with employer matching contributions. Additionally, opportunities for professional growth are abundant, with access to training programs, workshops, and certifications that align with the latest industry standards. The role offers a dynamic work environment that encourages innovation and collaboration, with the potential for career advancement within the renewable energy sector.

Requirements include a degree in Computer Science, Electrical Engineering, or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch is necessary. Strong programming skills in Python are required.

What You Will Do:

• Develop and implement machine learning models to improve energy production efficiency.
• Collaborate with data scientists, engineers, and other 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, ensuring they meet business objectives.
• Stay up-to-date with the latest advancements in machine learning and apply new techniques to our projects.
• Document technical processes and share knowledge with the team to foster a culture of continuous learning.

What You Bring:

• A Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
• Proven experience in developing and deploying machine learning models, with a strong background in Python and relevant libraries (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, Google Cloud) for model deployment and scaling.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Excellent communication skills, both written and verbal, to effectively convey technical concepts to non-technical stakeholders.
• A passion for renewable energy and a commitment to sustainability.