Machine Learning Engineer

Cedar National Group; Columbus (OH); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development

Job summary

Cedar National Group, a leading financial services firm in Columbus, Ohio, seeks a Machine Learning Engineer. This full-time role offers negotiable salary and benefits including health insurance and retirement plans.

You’ll design and implement ML models, analyze data, and collaborate with finance and tech teams to deploy solutions. You will hold a Master’s degree in CS/Engineering or related field and demonstrate expertise in Python, SQL, and ML frameworks like TensorFlow or PyTorch.

Qualifications

• Master's degree in CS/Statistics or related field.
• Experience with ML frameworks (TensorFlow, PyTorch).
• Knowledge of SQL and Python.
• Strong programming and collaboration skills.

Responsibilities

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Design and optimize ML pipelines for scalability and performance.
• Conduct data analysis and feature engineering to improve model accuracy.
• Stay updated with the latest ML and data science developments.
• Document work and share findings with the team.

Skills

Python

R

Data analysis

Education

Master's degree in Computer Science, Statistics, or related field

Tools

TensorFlow

PyTorch

scikit-learn

SQL

Job description

Cedar National Group, a leading financial services firm based in Columbus, Ohio, seeks a Machine Learning Engineer. This full-time position offers a negotiable salary and is open until November 23, 2026.

As a Machine Learning Engineer, you'll develop and implement machine learning models, analyze data to identify trends, and optimize existing systems. You'll collaborate with cross-functional teams to integrate machine learning solutions into our products.

In Columbus, Ohio, you'll collaborate with a diverse team of finance and technology professionals, fostering a dynamic and innovative work environment. This setting encourages continuous learning and professional growth, with opportunities to share knowledge and ideas. The workplace is designed to inspire creativity and problem-solving, with a focus on teamwork and mutual support. You'll have the chance to contribute to and benefit from a culture that values innovation and continuous improvement. The team's collective expertise and shared goals create a stimulating atmosphere where everyone can thrive and make a meaningful impact.

The salary for this position is negotiable, taking into account various factors such as the candidate's experience, qualifications, and the specific responsibilities of the role. In addition to the base salary, the company offers a comprehensive benefits package that includes health insurance, retirement plans, and opportunities for professional development. These benefits are designed to support the overall well-being and career growth of the employee, ensuring they have the resources and support needed to thrive in their role.

You should have a Master's degree in Computer Science, Engineering, or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch is required. Knowledge of SQL and Python is essential.

The deadline for submitting your application online is November 23, 2026.

What You Will Do:

• 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 pipelines for scalability and performance
• Conduct thorough data analysis and feature engineering to improve model accuracy
• Stay up-to-date with the latest advancements in machine learning and data science
• Document your work and share your findings with the team

What You Bring:

• A Master's degree in Computer Science, Statistics, or a related field, or equivalent experience
• Strong programming skills in Python, R, or a similar language
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Knowledge of data analysis tools and techniques, including SQL and visualization tools
• Excellent communication and collaboration skills
• A passion for finance and a desire to make a real impact in the industry