MLOps Engineer

Analytica
United States
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Technical communication","Problem-solving","Cross-functional collaboration"]

Automate secure deployment, evaluation, monitoring, and lifecycle management for on-premises AI services supporting a Federal data analytics and modernization initiative. Build and maintain ML-focused data pipelines and ETL/ELT workflows for NLP, retrieval, and advanced analytics, including feature engineering, embeddings generation, and quality/provenance controls. Deliver search, RAG, visualization, and AI-assisted decision support while collaborating across data engineering, data science, and software teams in secure Federal environments.

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FursaFursa
Analytica
Analytica
1 day ago

MLOps Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 59 minutes agoStatus: Live

Job Summary

Automate secure deployment, evaluation, monitoring, and lifecycle management for on-premises AI services supporting a Federal data analytics and modernization initiative. Build and maintain ML-focused data pipelines and ETL/ELT workflows for NLP, retrieval, and advanced analytics, including feature engineering, embeddings generation, and quality/provenance controls. Deliver search, RAG, visualization, and AI-assisted decision support while collaborating across data engineering, data science, and software teams in secure Federal environments.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain data pipelines and ETL/ELT workflows supporting machine learning, NLP, retrieval, and advanced analytics.
  • •Prepare, transform, curate, and validate structured and unstructured grants and financial data for AI/ML applications.
  • •Implement data quality, validation, provenance, lineage, versioning, metadata, and source traceability throughout the data lifecycle.
  • •Prepare and integrate data for search, retrieval-augmented generation (RAG), visualization, analytics, and AI-assisted decision support.
  • •Troubleshoot and optimize data pipeline and transformation issues across development and testing environments, and support deployments in secure Federal environments.

Pay and Benefits

Perks:Health Insurance401kLearning Budget

Key Requirements

  • •Experience building, integrating, and operating data pipelines for machine learning, NLP, information retrieval, or advanced analytics.
  • •Hands-on expertise with feature engineering, document processing, embeddings, curated datasets, and reproducible data transformation workflows.
  • •Strong proficiency in Python and SQL for data engineering, data transformation, automation, and model-support workflows.
  • •Experience implementing data quality controls, validation, provenance, metadata, versioning, lineage, and source traceability for AI/ML or data-intensive systems.
  • •U.S. citizenship and ability to obtain and maintain Top Secret eligibility (Active Top Secret clearance preferred).
Experience:Federal
Skills:Technical communicationProblem-solvingCross-functional collaboration
Tech Stack:PythonSQLLinuxPostgreSQLMicrosoft SQL ServerJava.NETJenkinsCI/CDAzure DevOpsKubernetesRancher

Eligibility

Nationality:US National
Security Clearance:Top Secret

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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