Senior AI/ML Engineer

The Josef Group; Dayton (OH); On-site; USD 150,000 - 210,000; Full time

Job summary

The Josef Group in Dayton, OH, is seeking an experienced Machine Learning lead to develop and refine advanced AI/ML solutions for complex sensor data and mission-focused environments.

You will own the full ML lifecycle—from data preparation and model training to validation, deployment, and integration with existing software systems—while mentoring engineers and communicating progress to program leadership and government stakeholders.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or related STEM discipline; Master's/PhD preferred.
• At least 7 years of professional ML experience with production/operational AI/ML solutions.
• Strong deep learning knowledge: CNNs, transformers, CV, and object detection.

Responsibilities

• Lead the full ML development lifecycle: data prep, training, validation, performance tuning, and deployment.
• Collaborate with researchers, scientists, and mission specialists to address data challenges.
• Build scalable Python applications with maintainable, tested, and documented code.
• Assess model accuracy and reliability; improve performance across datasets and conditions.
• Integrate ML models into existing software and analytical tools; ensure operational readiness.
• Provide mentorship, code reviews, and promote software development best practices.
• Communicate findings and recommendations to leadership and government stakeholders.

Skills

Python

PyTorch

TensorFlow

CNNs

Transformer architectures

Deep learning

Model deployment

Code reviews

Education

Bachelor's degree in STEM

Master's degree or PhD preferred

Tools

Git

VS Code

Job description

Develop and refine advanced machine learning solutions to identify, classify, and analyze patterns and activities across complex sensor datasets.

Lead the full ML development lifecycle, including data preparation, model training, validation, performance tuning, and deployment into mission-focused environments.

Collaborate with technical researchers, scientists, and mission specialists to understand unique data challenges and develop effective AI/ML solutions.

Build scalable, reliable Python applications following software engineering best practices, with an emphasis on maintainability, testing, and documentation.

Assess model accuracy, reliability, and overall effectiveness, identifying opportunities to improve performance across varying datasets and operational conditions.

Incorporate machine learning models into established software systems and analytical tools, ensuring successful integration and operational readiness.

Provide technical guidance to less experienced engineers through mentorship, code reviews, and the development of consistent engineering practices.

Support technical evaluations, solution design, and technology selection by assessing different machine learning methodologies and architectures.

Communicate technical findings, project progress, and recommendations through written reports, presentations, and discussions with program leadership and government stakeholders.

Required Qualifications

Active Top Secret clearance with eligibility to obtain SCI access and a CI Polygraph.

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related STEM discipline. Master's degree or PhD preferred.

At least 7 years of professional machine learning experience, including hands-on development and implementation of AI/ML solutions in production or operational settings.

Strong understanding of deep learning techniques, including convolutional neural networks (CNNs), transformer architectures, computer vision, and object detection methodologies.

Advanced Python development skills and practical experience using frameworks such as PyTorch, TensorFlow, or comparable ML technologies.

Experience designing and managing end-to-end machine learning workflows, including data processing, labeling, model development, testing, and deployment.

Ability to partner with researchers and technical subject matter experts to convert complex scientific or operational requirements into practical machine learning applications.

Previous experience providing technical leadership, mentoring engineers, reviewing code, and promoting software development best practices.

Excellent verbal and written communication skills, with the ability to explain complex technical concepts and present findings to both technical and nontechnical audiences.