Senior MLOps Engineer

Analytica
Washington
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 7-10 yearsEducation: mastersSkills: ["Leadership","Problem-solving","Communication","Teamwork"]

Senior MLOps Engineer to lead design, development, and deployment of ML operations infrastructure for defense applications. Focus on systems integration, ML pipeline development, responsible AI, and scalable data/AI capabilities for DoD missions, collaborating across government and vendor partners while ensuring compliance with responsible AI principles.

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FursaFursa
Analytica
Analytica
7 months ago

Senior MLOps Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Senior MLOps Engineer to lead design, development, and deployment of ML operations infrastructure for defense applications. Focus on systems integration, ML pipeline development, responsible AI, and scalable data/AI capabilities for DoD missions, collaborating across government and vendor partners while ensuring compliance with responsible AI principles.
Location: Washington
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead the design, development, and deployment of robust MLOps pipelines to support real-time decision-making for defense applications.
  • •Own systems integration and command-and-control development, coordinating with testing teams for performance in exercises and operational scenarios.
  • •Build and maintain scalable data/ML infrastructure to handle massive video, image, structured, and unstructured text data processing.
  • •Develop automated data ingestion, preprocessing, feature engineering, and model training workflows across diverse data types and formats.
  • •Establish and maintain governance, data quality, and testing processes to ensure reliability and security in DoD environments.

Pay and Benefits

Perks:Annual BonusHealth Insurance401kLearning Budget

Key Requirements

  • •Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field; Master's degree preferred
  • •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
Experience:7-10 yearsDefenseGovernmentDoD
Education:Master's
Skills:LeadershipProblem-solvingCommunicationTeamwork
Tech Stack:TensorFlowPyTorchScikit-learnDockerKubernetesApache AirflowKubeflowMLflowSparkHadoopAWSAzureGCP

Company Brief

Analytica
Analytica is a federal-focused consulting and technology services firm delivering data, analytics, AI, and IT modernization solutions to health, civilian, and national security agencies in the U.S.
Industry: Consulting
Company Size: Medium (51 to 250 employees)
Revenue: USD 25M to 50M
Growth: Established Company
Headquarters: Washington, United States
Founded: 2009
Glassdoor
Glassdoor: 3.4
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