Machine Learning Engineer

Catalyst Summit; Nashville (TN); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Comprehensive health insurance

Employer matching retirement plans

Professional development opportunities

Flexible work arrangements including (

Remote work options

Access to latest tech tools

Job summary

Catalyst Summit is hiring a Machine Learning Engineer in Nashville, TN for a full-time role focused on building and deploying ML solutions. You will design, develop, and optimize models, perform data analysis, and collaborate with diverse teams to align ML initiatives with business strategy.

The role emphasizes continuous learning, mentorship, and staying current with ML/AI advances, with a comprehensive benefits package and flexible work arrangements including remote options.

Qualifications

• Master's degree in Computer Science, Electrical Engineering, or a related field.
• 2+ years of experience in machine learning and AI development.
• Strong programming skills in Python, R, or Java.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with cloud platforms such as AWS or GCP for model deployment and scaling.
• Knowledge of data preprocessing, feature selection, and model evaluation techniques.
• Experience with SQL and databases for data storage and retrieval.

Responsibilities

• Develop and implement machine learning models to solve complex business problems
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
• Design and optimize machine learning algorithms to improve performance and efficiency
• Conduct data analysis and feature engineering to enhance model accuracy
• Deploy machine learning models into production and monitor their performance
• Stay up-to-date with the latest advancements in machine learning and AI technologies
• Mentor and train junior team members to ensure continuous skill development
• Document and communicate technical concepts to both technical and non-technical stakeholders

Skills

Python

R

Java

Education

Master's degree

Bachelor's degree

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Catalyst Summit seeks a Machine Learning Engineer in Nashville, TN, for a full-time position. This role involves developing and implementing machine learning solutions to advance technological innovation. The salary is negotiable, and the position is open until November 23, 2026.

In this role, you will design, develop, and deploy machine learning models, conduct data analysis to inform model development, and optimize existing models for improved performance. You will also collaborate with cross-functional teams to integrate machine learning solutions into broader business strategies.

You will work in a dynamic team environment within our Nashville office. The workplace is collaborative and innovative, fostering a culture of continuous learning and development. Nashville, TN, offers a vibrant tech scene and a high quality of life.

The salary for this position is negotiable, and the benefits package is comprehensive, including comprehensive health insurance coverage, retirement plans with employer matching contributions, and opportunities for professional development through workshops, training programs, and access to industry conferences. Employees may also enjoy additional perks such as flexible work arrangements, which can include remote work options, adjusted hours, or compressed workweeks, as well as access to the latest technology tools and software, which can enhance productivity and job satisfaction.

You should have a Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong background in machine learning algorithms and techniques. Experience with Python, TensorFlow, and PyTorch is required. Familiarity with cloud platforms like AWS or GCP is a plus.

• Develop and implement machine learning models to solve complex business problems
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
• Design and optimize machine learning algorithms to improve performance and efficiency
• Conduct data analysis and feature engineering to enhance model accuracy
• Deploy machine learning models into production and monitor their performance
• Stay up-to-date with the latest advancements in machine learning and AI technologies
• Mentor and train junior team members to ensure continuous skill development
• Document and communicate technical concepts to both technical and non-technical stakeholders
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• 2+ years of experience in machine learning and AI development
• Strong programming skills in Python, R, or Java
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Knowledge of data preprocessing, feature selection, and model evaluation techniques
• Understanding of cloud platforms such as AWS or GCP for model deployment and scaling
• Experience with SQL and databases for data storage and retrieval
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment