Senior MLOps Engineer

Analytica is seeking a highly skilled Senior MLOps Engineer to lead the design, development, and deployment of machine learning operations infrastructure for defense applications. This role requires expertise in systems integration, ML pipeline development, and responsible AI practices within government environments. The position focuses on building scalable data and AI capabilities that support DoD mission-critical operations while ensuring compliance with responsible AI principles.

This position offers the opportunity to shape the future of AI and machine learning capabilities within the Department of Defense while ensuring responsible, ethical, and effective deployment of advanced technologies in support of national security missions. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives.

The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.   Responsibilities: ​Systems Integration & Command-and-Control Development:
Serve as subject matter expert for systems integration supporting the design, development, and deployment of command-and-control products Lead networking and integration efforts for AI/ML systems deployed in operational and exercise environments Design and implement robust MLOps pipelines that support real-time decision-making capabilities for defense applications Collaborate with testing teams to ensure ML systems perform effectively during military exercises and operational scenarios Enterprise Data & ML Pipeline Architecture:
Provide senior technical expertise in modeling, designing, and delivering advanced data tools and ML platforms for DoD-wide adoption Build and maintain scalable infrastructure to handle massive-scale video, image, structured and unstructured text data processing Develop automated data ingestion, preprocessing, and feature engineering pipelines that support diverse data types and formats Work with engineers, commercial vendors, government agencies, and academic partners to identify and implement cutting-edge ML capabilities Advanced Technology Pipeline Development:
Establish and maintain an enterprise-level advanced technology pipeline to accelerate AI/ML adoption across the agency. Implement data quality monitoring, validation, and governance frameworks to ensure high-quality training datasets Design and optimize ML model training, testing, and deployment workflows that reduce implementation cycles Develop automated testing and validation processes for ML models to ensure reliability and performance in operational environments Partnership Optimization & Process Development:
Support the development of optimization models for government engagement with external partners and technology vendors Create and maintain integration workflows that leverage external capabilities while maintaining security and compliance standards Develop vendor assessment criteria and integration protocols for AI/ML technologies and services Documentation & Knowledge Management:
Create, iterate, and publish comprehensive guidance materials for data science and AI development practices Develop and maintain coding standards and best practices documentation for ML development teams Establish documentation standards for model versioning, experiment tracking, and deployment procedures Enterprise Data Integration & Interoperability:
Design and implement data integration solutions that support enterprise data mesh architecture Develop real-time data feed integration…