Machine Learning Engineer: Build Production AI Solutions

Noctua Technology; Washington, Virginia, California (District of Columbia, MN, MO); On-site; USD 95,000 - 166,000; Full time

Job summary

Noctua Technology, LLC is seeking a talented Machine Learning Engineer to design, develop, and deploy cutting-edge ML solutions for varied client challenges. You will build data pipelines, train models, and optimize algorithms to drive performance and accuracy in production systems.

The role emphasizes collaboration with software engineers, domain experts, and business analysts, while staying current with ML advances and industry best practices.

Qualifications

• Solid understanding of ML concepts, algorithms, and frameworks.
• Experience deploying ML models to production systems.
• Proficiency with containerization and cloud platforms.
• Strong Python and/or C++ programming skills.
• Excellent collaboration and code quality practices.

Responsibilities

• Acquire, preprocess, and integrate diverse datasets for model training.
• Design, implement, and evaluate ML models to solve business problems.
• Develop data pipelines and optimize algorithms for performance.
• Collaborate with engineers, data scientists, and analysts; document work.
• Experiment, iterate, and incorporate client feedback to improve outcomes.

Skills

TensorFlow

PyTorch

Python

C++

Data pipelines

Software engineering

Git

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Spark

Hadoop

Cloud platforms (AWS/Azure/GCP)

Job description

Noctua Technology, LLC is seeking a talented Machine Learning Engineer to design, develop, and deploy cutting-edge ML solutions for varied client challenges. You will build data pipelines, train models, and optimize algorithms to drive performance and accuracy in production systems.

The role emphasizes collaboration with software engineers, domain experts, and business analysts, while staying current with ML advances and industry best practices.