Machine Learning Engineer - Remote, Cloud & MLOps

Neura Market; Northern (KY); Hybrid; USD 129,000 - 215,000; Full time

Benefits offered by this job

Health Insurance

Life Insurance

Paid Time Off

Holiday Pay

Short-term Disability

Long-term Disability

Retirement and Savings

Learning and Development opportunities

Wellness programs

Job summary

MANTECH is seeking a Software Machine Learning Engineer to join a team delivering scalable ML pipelines and services across major cloud platforms. You will work with data scientists to design training tools and models to support national security missions.

The role emphasizes deploying MLOps lifecycles, conducting experiments, and producing production-ready code using Python, Java, and R with TensorFlow, Keras, and Scikit-learn. A Secret clearance is required for this opportunity.

Qualifications

• Master’s degree in a quantitative field (Mathematics, Statistics, CS)
• Experience defining data pipelines and ML algorithms
• Proficiency with Agile development practices and Git

Responsibilities

• Collaborate with data scientists and engineers to build ML models, training tools, and simulations.
• Deploy, operationalize, and monitor ML models across cloud environments.
• Develop and test ML applications, running experiments to optimize performance.
• Train and embed models into applications using Python, Java, R and ML libraries.
• Visualize data to uncover insights affecting model accuracy and performance.
• Follow Agile methodologies to deliver production-ready code in iterations.

Skills

Python

Java

R

Agile Development

Git Operations

Education

Master's degree in Applied Mathematics

Master's degree in Statistics

Master's degree in Computer Science

Tools

TensorFlow

Keras

Scikit-learn

Job description

MANTECH is seeking a Software Machine Learning Engineer to join a team delivering scalable ML pipelines and services across major cloud platforms. You will work with data scientists to design training tools and models to support national security missions.

The role emphasizes deploying MLOps lifecycles, conducting experiments, and producing production-ready code using Python, Java, and R with TensorFlow, Keras, and Scikit-learn. A Secret clearance is required for this opportunity.