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Senior MLOps Engineer

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Job Location drjobs

Washington - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Analytica is seekinga 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 byInc. Magazineas 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 capabilities for live operational data streams
  • Build APIs and microservices that enable seamless data sharing across DoD systems and applications
  • Ensure data interoperability standards compliance across diverse defense systems and platforms

Responsible AI Implementation & Governance:

  • Lead the implementation and management of DoD responsible artificial intelligence programs and initiatives
  • Integrate responsible AI tools frameworks and assessment methodologies into existing and new use cases
  • Develop comprehensive performance metrics and evaluation frameworks for AI/ML projects and tools
  • Conduct regular assessments of AI system outcomes bias detection and ethical compliance
  • Prepare executive-level reports and briefings on responsible AI implementation progress and recommendations

Performance Monitoring & Evaluation:

  • Establish MLOps monitoring and observability solutions for production ML systems
  • Develop automated model performance tracking drift detection and retraining pipelines
  • Create dashboards and reporting tools that provide visibility into ML system performance and reliability
  • Conduct post-deployment analysis and continuous improvement of ML operations processes
Required Qualifications:
  • Bachelors degree in Computer Science Data Science Machine Learning or related technical field; Masters degree preferred
  • Minimum 7-10 years of experience in MLOps DevOps or related systems engineering roles
  • Strong expertise in ML frameworks (TensorFlow PyTorch Scikit-learn) containerization (Docker Kubernetes) and cloud platforms
  • Experience with data pipeline tools (Apache Airflow Kubeflow MLflow) and big data technologies (Spark Hadoop)
  • Knowledge of government compliance requirements security frameworks and responsible AI principles

Preferred Qualifications:

  • Experience with defense or intelligence community AI/ML projects
  • Certifications in cloud platforms (AWS ML Azure AI GCP ML) and MLOps tools
  • Knowledge of responsible AI frameworks and bias detection methodologies
  • Experience with real-time data processing and streaming technologies
  • Familiarity with DoD enterprise architecture and data sharing standards
  • Current security clearance or ability to obtain required clearance level

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals regardless of race color religion sex sexual orientation gender identity national origin age disability or any other characteristic protected by applicable federal state or local law. As a federal contractor we comply with the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans.

We ensure that all employment decisions are based on merit qualifications and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities in accordance with applicable laws

When receiving email communication from Analytica please ensure that the email domain is to verify its authenticity.


Required Experience:

Senior IC

Employment Type

Full-Time

Company Industry

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