Machine Learning Engineer

Summit Global Solutions; Louisville (KY); On-site; USD 110,000 - 145,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development

Job summary

Summit Global Solutions in Louisville, KY is hiring a Machine Learning Engineer for a full-time role. You will develop and deploy ML models, optimize algorithms, and ensure scalable AI systems while collaborating with data scientists and software engineers.

This position offers a salary range of $110,000 to $145,405 annually and includes comprehensive benefits such as health insurance, retirement plans, and professional development opportunities, reflecting our commitment to growth and employee

Qualifications

• Master's degree in CS, Data Science, or a related field.
• Experience with Python, TensorFlow, and PyTorch.
• Familiarity with AWS, GCP, or Azure is a plus.
• 3+ years of experience in machine learning engineering.
• Strong programming skills in Python, R, or Java.
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Knowledge of cloud platforms like AWS, GCP, or Azure is a plus.

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, train, and optimize machine learning algorithms and models
• Build and maintain scalable machine learning pipelines and infrastructure
• Evaluate and deploy machine learning models in production environments

Skills

Python

R

Java

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Education

Master's degree in CS/Data Science

Bachelor's degree in CS/Statistics/Math

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Job description

Job Overview

Summit Global Solutions, a tech company based in Louisville, KY, seeks a Machine Learning Engineer for a full-time position. The role offers a salary range of $110,000 to $145,405 and is available until November 22, 2026.

As a Machine Learning Engineer, you will develop and implement machine learning models, optimize algorithms, and ensure the scalability and efficiency of our AI systems. You will also collaborate with data scientists and software engineers to integrate machine learning solutions into our products.

You will be part of a team in Louisville, KY, working in a dynamic and collaborative environment. The city offers a vibrant tech scene and a high quality of life.

Benefits

The annual salary range for this position is set between $110,000 and $145,405, providing a competitive compensation package. In addition to the base salary, employees are entitled to comprehensive benefits such as health insurance, which covers medical, dental, and vision care, ensuring their well-being. The role also includes access to retirement plans, allowing for long-term financial security. Furthermore, professional development opportunities are available, enabling employees to enhance their skills and advance their careers. These benefits collectively contribute to a well-rounded compensation package that values and supports the employee's overall growth and satisfaction.

Requirements

• To excel in this role, you should have a Master's degree in Computer Science, Data Science, or a related field.
• You should also have experience with Python, TensorFlow, and PyTorch.
• Familiarity with cloud platforms like AWS or GCP is a plus.

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• 3+ years of experience in machine learning engineering
• Strong programming skills in Python, R, or Java
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Knowledge of cloud platforms like AWS, GCP, or Azure is a plus

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, train, and optimize machine learning algorithms and models
• Build and maintain scalable machine learning pipelines and infrastructure
• Evaluate and deploy machine learning models in production environments

The company values diversity and encourages applications from all qualified individuals.