Machine Learning Engineer

Meridian Premier Inc.; Colorado Springs (CO); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

health insurance

retirement plans

paid time off

other perks

Job summary

Meridian Premier Inc., a Colorado Springs, CO-based technology company, is seeking a Machine Learning Engineer for a full-time role in Colorado Springs. The position involves designing, developing, and deploying ML models to solve complex business problems, with a negotiable salary and comprehensive benefits discussed during the interview process.

Applicants should hold a Master's degree in CS/EE or related field and have 3–5 years of ML experience, with Python, TensorFlow, and PyTorch

Qualifications

• Master's degree in Computer Science, Electrical Engineering, or a related field.
• 3-5 years of experience in machine learning and data science, with a strong portfolio of projects.
• Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.
• Strong understanding of data structures, algorithms, and statistical concepts.
• Experience with cloud platforms such as AWS or Google Cloud.

Responsibilities

• Design, develop, and deploy machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Conduct data analysis and preprocessing to prepare data for machine learning models.
• Evaluate and optimize machine learning models for performance, accuracy, and scalability.
• Stay up-to-date with the latest advancements in machine learning and data science.
• Document and communicate technical findings and recommendations to stakeholders.

Skills

Python

Data analysis

Problem solving

Communication

Education

Master's degree

Tools

TensorFlow

PyTorch

scikit-learn

SQL

Job description

Meridian Premier Inc., a Colorado Springs, CO-based technology company, is hiring a Machine Learning Engineer for a FULL_TIME position. This role involves developing machine learning models to address complex business challenges, with a salary negotiable. The position is open until November 23, 2026.

In this role, you will be responsible for designing and implementing machine learning models, which involves selecting appropriate algorithms, preprocessing data, training models, and evaluating their performance. You will also collaborate with cross‑functional teams, such as data scientists, software engineers, and business analysts, to gain a deep understanding of the business needs and objectives. Your task will involve translating these business requirements into technical solutions that align with the company's goals. Your work will directly contribute to driving innovation by developing cutting‑edge machine learning models that can solve complex business problems. Additionally, you will play a crucial role in enhancing client operations by providing data‑driven insights and recommendations that improve efficiency, productivity, and overall performance.

You will be part of a team in Colorado Springs, CO, working in a dynamic environment focused on data analytics and machine learning. The workplace is in Colorado Springs, CO, offering a collaborative setting for professional growth.

The salary for this position is negotiable, and during the hiring process, additional benefits will be discussed. These benefits may include health insurance, retirement plans, paid time off, and other perks that are not specified in the current job description. The exact details of these benefits will be provided to candidates during the interview process.

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. Proficiency in SQL and familiarity with cloud platforms like AWS or GCP is a plus.

What You Will Do:

• Design, develop, and deploy machine learning models to solve complex business problems.
• Collaborate with cross‑functional teams to understand business requirements and translate them into technical solutions.
• Conduct data analysis and preprocessing to prepare data for machine learning models.
• Evaluate and optimize machine learning models for performance, accuracy, and scalability.
• Stay up‑to‑date with the latest advancements in machine learning and data science.
• Document and communicate technical findings and recommendations to stakeholders.

What You Bring:

• A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience.
• 3-5 years of experience in machine learning and data science, with a strong portfolio of projects.
• Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.
• Strong understanding of data structures, algorithms, and statistical concepts.
• Experience with cloud platforms such as AWS or Google Cloud.
• Excellent problem‑solving skills and attention to detail.

Benefits:

• health insurance
• retirement plans
• paid time off
• other perks that are not specified in the current job description