About this opportunity
Steampunk lists this Machine Learning / Federated-Learning Engineer opportunity in bloomington, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Overview
We are seeking a Machine Learning (ML) / Federated-Learning Engineer responsible for developing, implementing, and supporting machine learning solutions within controlled and distributed environments. This role will support the Bounded Use Case B demonstration through controlled model adaptation, fine-tuning, and federated learning workflows.
The ML / Federated-Learning Engineer will work across the machine learning lifecycle to develop and integrate model training and adaptation workflows, support distributed and federated learning capabilities, evaluate model performance, and ensure solutions operate within defined technical and security constraints. This role requires strong hands-on experience with machine learning engineering, model development, and distributed computing environments.
Contributions
Design, develop, and implement machine learning solutions supporting the Bounded Use Case B demonstration
Develop and execute controlled model adaptation and fine-tuning workflows based on defined use cases and requirements
Design, implement, and support federated learning workflows that enable distributed model training and adaptation
Develop and maintain machine learning pipelines supporting data preparation, model training, fine-tuning, evaluation, and deployment
Analyze and preprocess data, including feature engineering and transformation, to support machine learning workflows
Configure and optimize machine learning models and training processes to meet defined performance and operational requirements
Evaluate model performance, behavior, and effectiveness using established metrics and validation techniques
Develop processes and controls to ensure model adaptation and training occur within defined technical, security, and operational boundaries
Integrate machine learning capabilities with existing applications, platforms, data sources, and infrastructure
Troubleshoot model training, integration, performance, and distributed learning issues
Develop reusable code, tools, and automation to support machine learning and federated learning workflows
Collaborate with data scientists, software engineers, cloud engineers, cybersecurity teams, and other technical stakeholders to develop and integrate machine learning capabilities
Document machine learning architectures, workflows, configurations, testing results, and technical implementation decisions
Support version control, CI/CD, and other software engineering practices throughout the machine learning development lifecycle
Support an Agile software development lifecycle
Maintain awareness of emerging machine learning, model fine-tuning, federated learning, and distributed AI technologies and practices
Qualifications
Required:
Ability to obtain and maintain a government security clearance
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, or a related technical field, or equivalent relevant experience
5+ years of experience in software engineering, data science, machine learning, AI engineering, or related technical disciplines, including hands-on machine learning engineering experience
Hands-on experience developing, training, fine-tuning, and evaluating machine learning models
Experience designing and implementing machine learning training and inference workflows
Experience with federated learning, distributed machine learning, or distributed model training concepts and architectures
Strong programming experience using Python and common machine learning libraries and frameworks
Experience with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies
Experience with data preprocessing, feature engineering, and model evaluation techniques
Experience developing and maintaining data and machine learning pipelines
Knowledge of model evaluation techniques, performance metrics, and validation methodologies
Experience integrating machine learning models and capabilities into applications or production environments
Understanding of distributed computing concepts and architectures
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)
Experience with version control systems such as Git and CI/CD practices
Experience troubleshooting machine learning model, pipeline, and integration issues
Strong analytical, problem-solving, communication, and collaboration skills
Preferred :
Hands-on experience implementing federated learning architectures or workflows
Experience with federated learning frameworks or technologies
Experience with large language models (LLMs), foundation models, or other generative AI technologies
Experience deploying and operating machine learning workloads in cloud environments
Knowledge of MLOps practices, model lifecycle management, and automated ML pipelines
Experience implementing machine learning solutions within controlled, secure, or restricted environments
Experience working within federal government or other highly regulated environments
Relevant cloud, machine learning, or AI certification
About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $115,000 to $150,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.If you want to learn more about our story, visit
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.Steampunk participates in the E-Verify program.
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Worksite address
bloomington, IL, 61791, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.