Artificial Intelligence/Machine Learning (AI/ML) Engineer

Analytica
United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Technical leadership","Strategic vision","Analytical","Documentation","Collaboration"]

Design, build, and deploy AI/ML models for federal mission and business use cases, partnering across data engineering, application development, and domain SMEs. Own the full lifecycle from training and evaluation to production monitoring, with MLOps pipelines for versioning, governance, and reliability. Apply techniques including NLP, LLMs, RAG, and generative AI, and integrate solutions into APIs, applications, and operational workflows. Optimize performance, security, explainability, and documentation.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Analytica
Analytica
1 day ago

Artificial Intelligence/Machine Learning (AI/ML) Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Design, build, and deploy AI/ML models for federal mission and business use cases, partnering across data engineering, application development, and domain SMEs. Own the full lifecycle from training and evaluation to production monitoring, with MLOps pipelines for versioning, governance, and reliability. Apply techniques including NLP, LLMs, RAG, and generative AI, and integrate solutions into APIs, applications, and operational workflows. Optimize performance, security, explainability, and documentation.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop, train, evaluate, deploy, and monitor AI/ML models for mission and business use cases.
  • •Build and support MLOps pipelines for model versioning, deployment, monitoring, and governance.
  • •Collaborate with data engineers, application developers, analysts, and domain SMEs to operationalize AI capabilities.
  • •Implement NLP, LLM, RAG, generative AI, predictive analytics, and automation solutions where appropriate.
  • •Optimize model performance, scalability, explainability, security, and reliability, and integrate outputs into APIs, applications, and workflows.

Pay and Benefits

Perks:Health Insurance401k

Key Requirements

  • •3+ years of AI/ML engineering, data science, or applied machine learning experience.
  • •Experience with Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • •Experience with MLOps tools, cloud AI services, model deployment, and production monitoring.
  • •Knowledge of NLP, LLMs, RAG, generative AI, predictive modeling, and model evaluation methods.
  • •Ability to deploy AI/ML in secure cloud or enterprise environments; must have active or ability to obtain IRS MBI clearance.
Experience:FederalUS government
Skills:Technical leadershipStrategic visionAnalyticalDocumentationCollaboration
Tech Stack:PythonPyTorchTensorFlowScikit-learnMLOpsNLPLLMsRAGGenerative AIPredictive analyticsAPIsCloud AI services

Eligibility

Security Clearance:IRS MBI

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
WebsiteLinkedInGlassdoor