The Senior ML Engineer will architect ML infrastructure, deploy models, manage data, ensure MLOps practices, and collaborate on data projects with diverse teams.
About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.
About the Role
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking a Machine Learning (ML) Engineer to join our team supporting the Air Force Rapid Sustainment Office (RSO). In this role, you will be a key architect in the Condition-Based Maintenance Plus (CBM+) ecosystem, moving advanced predictive models from development into production-grade environments. Your work ensures that AI/ML capabilities are not just theoretical but are operational tools used to optimize aircraft sustainment and maintenance efficiency across the USAF fleet. This is an opportunity to work at the intersection of high-stakes aerospace logistics and cutting-edge MLOps, building solutions that keep our nation’s aircraft ready for the mission.
Key Responsibilities
- Architect and maintain production-grade ML pipelines and infrastructure to support program-wide CBM+ initiatives.
- Oversee end-to-end data collection and processing, including the implementation and sustainment of robust ETL pipelines.
- Drive the adoption of MLOps practices to ensure automated model deployment, versioning, and rigorous monitoring.
- Partner closely with data scientists to transition models from experimental stages to production environments efficiently.
- Clean, preprocess, and manage large-scale datasets to ensure high-quality inputs for predictive modeling.
- Perform Exploratory Data Analysis (EDA) and statistical visualization to identify correlations and trends that drive product development.
- Identify and implement opportunities to improve system performance, scalability, and computational efficiency.
- Continuously monitor deployed models for performance drift and degradation, implementing retraining strategies as needed.
- Collaborate within a multi-functional Agile team to align technical tasks with evolving mission objectives.
Required Experience/Clearance
- US citizen with a Secret US government clearance. Applicants who are not US Citizens and who do not have a current active Secret security clearance will not be considered for this role.
- Bachelor’s degree in a STEM field (e.g., Computer Science, Data Science, Engineering, or Mathematics).
- 4 years of professional experience in machine learning or data science, with a focus on production-grade deployments.
- Demonstrated experience with Databricks, PySpark, and SQL for large-scale data manipulation.
- Proven experience with MLOps practices, including model engineering, orchestration, and monitoring.
- Background in applied Natural Language Processing (NLP), including data labeling and entity/keyword extraction.
- Strong understanding of statistical distributions and their application in predictive data modeling.
- Excellent communication skills with the ability to present technical findings to diverse audiences and stakeholders.
- Proficiency with office productivity software, including Microsoft Excel, Word, and PowerPoint.
- Ability to travel, as needed, to engage with government customers and stakeholders.
Desired Experience
- Master’s degree in a STEM field, ideally with a focus on Data Science or Artificial Intelligence.
- Advanced understanding of AI/ML applications specifically within predictive maintenance or industrial logistics.
- Hands-on experience with sensor-based failure predictions and time-series modeling.
- Familiarity with Monte-Carlo simulations and the calculation of confidence levels for predictive forecasting.
- Experience working within DoD-specific data environments (e.g., Advana or Jupiter).
- Contributions to open-source ML projects or experience with Git-based collaboration.
Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
Accommodations:
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at [email protected]
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
Top Skills
Databricks
ETL
Machine Learning
Mlops
Natural Language Processing
Pyspark
SQL
Similar Jobs
Fintech • Machine Learning • Payments • Social Impact • Software • Financial Services
The Senior Machine Learning Engineer will architect the ML infrastructure, productionize models, maintain data platforms, and ensure system health, collaborating closely with data scientists and data engineers.
Top Skills:
AWSCdkCloudFormationDatabricksDockerDynamoDBKafkaKubernetesPythonPyTorchSagemakerScikit-LearnSnowflakeTensorFlowTerraform
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.
Top Skills:
AirflowAWSCloudbeesDbtFeastGoJenkinsKafkaPythonPyTorchQlikScikit-LearnShell/BashSnowflakeSQLTableauTensorFlow
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior AI/ML Tooling Engineer develops tools for optimizing ML models and collaborates across various AV teams to enhance performance analysis and model architecture.
Top Skills:
C++Nsight ComputeNsight SystemsPythonPyTorchTensorFlowTensorrt
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
