Machine Learning Engineer

Redwood South; Kansas City (MO); On-site; USD 120,000 - 164,000; Full time

Benefits offered by this job

Health insurance (medical, dental, and

Vision coverage

Retirement plan

Tuition reimbursement

Online learning access

Job summary

Redwood South, a renewable energy leader in Kansas City, seeks a Machine Learning Engineer to build scalable ML solutions for energy optimization. You will analyze data, develop models, and integrate them into our systems in collaboration with product, data, and software teams.

The role requires a Master's degree in CS or ML, 3–5 years of ML experience, strong Python skills, and experience with TensorFlow, PyTorch, and scikit-learn.

Qualifications

• Master's degree in Computer Science, ML or a related field.
• 3–5 years of experience in machine learning and software development.
• Proficient in Python with TensorFlow, PyTorch and scikit-learn.
• Experience with data analysis and feature engineering techniques.
• Strong communication and ability to explain technical concepts clearly.
• Experience with cloud platforms such as AWS or GCP is a plus.

Responsibilities

• Develop and implement machine learning models to solve complex problems in the renewable energy sector.
• Collaborate with cross-functional teams to translate business needs into machine learning solutions.
• Design and optimize machine learning algorithms to improve energy efficiency and reduce costs.
• Conduct data analysis and feature engineering to enhance model performance.
• Deploy machine learning models into production environments and monitor their performance.
• Stay up-to-date with the latest advancements in machine learning and apply new techniques to our solutions.
• Document your work and share knowledge with the team to foster learning.
• Participate in code reviews and provide constructive feedback to ensure high-quality code.

Skills

Python

Data analysis

Feature engineering

Communication

Problem-solving

Team collaboration

Independent work

Education

Master's degree in Computer Science or ML

Bachelor's degree in Computer Science or related

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Job description

Redwood South, a prominent player in renewable energy, is hiring a Machine Learning Engineer in Kansas City, MO. This full-time position offers a salary range of $120,000 to $164,220 per year and is open until November 23, 2026.

As a Machine Learning Engineer, you'll develop innovative machine learning solutions. You'll work on data analysis, model development, and implementation. You'll also collaborate with cross-functional teams to integrate solutions into our systems.

You’ll be part of a growing team in Kansas City, MO. The workplace is collaborative and innovative. You'll have opportunities to work on diverse projects in renewable energy.

• In addition to the base salary, employees can benefit from comprehensive health insurance coverage, which includes medical, dental, and vision plans.
• The company also offers a robust retirement plan, allowing employees to save and invest for their future.
• Furthermore, professional development opportunities are available, such as tuition reimbursement for courses related to the job, workshops, and seminars, and access to online learning platforms.

You should have a Master's degree in Computer Science, Machine Learning, or a related field. You should have experience with Python, TensorFlow, and PyTorch. You should be familiar with cloud platforms like AWS or GCP. You should have a strong background in data analysis and machine learning algorithms. You should be able to communicate complex ideas clearly and effectively.

• Develop and implement machine learning models to solve complex problems in the renewable energy sector.
• Collaborate with cross-functional teams to understand business needs and translate them into machine learning solutions.
• Design and optimize machine learning algorithms to improve energy efficiency and reduce costs.
• Conduct data analysis and feature engineering to enhance the performance of machine learning models.
• Deploy machine learning models into production environments and monitor their performance.
• Stay up-to-date with the latest advancements in machine learning and apply new techniques to our solutions.
• Document your work and share your knowledge with the team to foster a culture of learning and improvement.
• Participate in code reviews and provide constructive feedback to ensure high-quality code.
• Bachelor's degree in Computer Science, Machine Learning, Statistics, or a related field.
• 3-5 years of experience in machine learning and software development.
• Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, and scikit-learn.
• Experience with data analysis and feature engineering techniques.
• Understanding of software engineering best practices and a passion for writing clean, maintainable code.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
• Experience with cloud platforms such as AWS or GCP is a plus.