Machine Learning Engineer

Maxana; United States; Remote; USD 150,000 - 160,000; Full time

Job summary

A leading company in fintech is seeking a Senior Machine Learning Engineer to develop intelligent solutions for a Fortune 500 client. This remote role involves designing and deploying machine learning models, collaborating with cross-functional teams, and mentoring junior engineers. Ideal candidates will have a strong background in Python and machine learning frameworks, along with a Bachelor's degree in a relevant field.

Benefits

401(k) matching

Dental insurance

Health insurance

Paid time off

Training & development

Extensive health/insurance benefits

Ample opportunity for career growth

Qualifications

• 3+ years of professional experience developing and deploying ML models.
• Strong programming skills in Python.
• Experience with ML frameworks like PyTorch, TensorFlow, or Scikit-learn.

Responsibilities

• Design, build, and deploy production-ready machine learning models.
• Collaborate with teams to transform research prototypes into scalable ML systems.
• Monitor model performance in production and address model drift.

Skills

Python

Machine Learning

SQL

Data Structures

Algorithms

Education

Bachelor's degree in Computer Science, Machine Learning, or related field

Master's or PhD preferred

Tools

PyTorch

TensorFlow

Scikit-learn

Spark

AWS/GCP

Job description

Benefits:

• 401(k) matching
• Competitive salary
• Dental insurance
• Health insurance
• Paid time off
• Training & development

Senior Machine Learning Engineer

About the Role

We're looking for a talented Machine Learning Engineer to join our Fortune 500 client and help build intelligent solutions for their payment platform. In this role, you'll be at the intersection of data science, engineering, and product development, creating data systems that deliver meaningful impact to users and the business.

Responsibilities

• Design, build, and deploy production-ready machine learning models that power critical features across our platform.
• Collaborate with your team to transform research prototypes into robust, scalable, and maintainable ML systems.
• Work closely with product and engineering teams to understand business problems and define technical ML solutions.
• Improve recommendation algorithms that personalize user experiences and drive engagement.
• Develop and maintain ML pipelines that can reliably process large volumes of data (LLM).
• Monitor model performance in production and implement strategies to detect and address model drift.
• Participate in code reviews and mentor junior engineers in ML best practices.
• Stay current with the latest advancements and evaluate new techniques for potential application.
• Work on cutting-edge projects pivotal to our Fortune 500 client.

Qualifications (Ideal, not 100% required)

• Bachelor's degree in Computer Science, Machine Learning, or related technical field (Master's or PhD preferred).
• 3+ years of professional experience developing and deploying ML models in production environments.
• Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience with LLM.
• Solid understanding of data structures, algorithms, and software design principles.
• Proficiency in SQL and experience working with large datasets.
• Knowledge of data processing frameworks like Spark or Flink.

Tech Stack

• Python, SQL, Scala
• PyTorch, TensorFlow, Scikit-learn
• Spark, Airflow
• AWS/GCP cloud services
• Docker, Kubernetes
• MLflow, Feature stores
• Jupyter, Git

Benefits

• Competitive salary
• 100% Remote
• Extensive health/insurance benefits
• Ample opportunity for career growth

This is a remote position.

Compensation: $150,000.00 - $160,000.00 per year

Maxana has been providing custom software and engineering solutions to leading companies since 2017. Our team is composed of experienced professionals who have worked with top technology firms. We specialize in fintech, payments, and banking platforms and offer a range of services including application development, engineering consulting, and strategic technology advisory. Our consultants have a wealth of knowledge in the payment and fintech industries, and we use this expertise to help our clients navigate digital transformation. Whether it's integrating with third parties or creating new products, we work with our clients to find solutions that meet their needs and exceed expectations.