AI-ML Engineer

Analytica
United States
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Problem-solving","Responsibility","Continuous improvement"]

Design, build, and deploy production AI/ML solutions that turn complex data into actionable intelligence for real-world government missions. Work hands-on with Microsoft Azure services to create and optimize data pipelines, support NLP/ML workloads, and enhance enterprise AI capabilities. Collaborate in Agile teams to implement secure, responsible AI practices, CI/CD, monitoring, and continuous improvement across the full AI lifecycle, from experimentation to daily operations.

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FursaFursa
Analytica
Analytica
3 days ago

AI-ML Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Design, build, and deploy production AI/ML solutions that turn complex data into actionable intelligence for real-world government missions. Work hands-on with Microsoft Azure services to create and optimize data pipelines, support NLP/ML workloads, and enhance enterprise AI capabilities. Collaborate in Agile teams to implement secure, responsible AI practices, CI/CD, monitoring, and continuous improvement across the full AI lifecycle, from experimentation to daily operations.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build, maintain, and optimize Azure-based data pipelines and workflows using Azure Data Factory, ADLS Gen2, Synapse Analytics, Azure SQL, Python, and SQL.
  • •Support batch and near–real-time data ingestion, transformation, enrichment, and aggregation to deliver analytics-ready datasets.
  • •Configure, monitor, and enhance enterprise AI capabilities across Azure and other approved platforms, including secure data pipelines for NLP/ML workloads.
  • •Contribute to CI/CD pipelines, monitoring, troubleshooting, and performance tuning to ensure reliable data operations.
  • •Ensure compliance with Federal architecture standards, EA guidelines, and security controls; produce architecture artifacts, test plans, security documentation, and operational runbooks.

Pay and Benefits

Perks:Health Insurance401kLearning Budget

Key Requirements

  • •3+ years developing and deploying AI/ML solutions in production environments.
  • •Strong proficiency in Python and ML/data libraries such as Pandas, NumPy, scikit-learn, PyTorch, and TensorFlow.
  • •Experience with Microsoft Azure services for data and AI workloads (e.g., Azure Machine Learning, ADLS Gen2, Azure Synapse Analytics, Azure Data Factory).
  • •Working knowledge of MLOps, including CI/CD pipelines, version control, and model lifecycle management.
  • •Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field (or equivalent practical experience).
Experience:AI/MLMLOpsAzureAgileGovernment contracting
Education:Bachelor's
Skills:CollaborationProblem-solvingResponsibilityContinuous improvement
Certifications:Microsoft Certified: Azure AI Engineer AssociateAzure AI certifications
Tech Stack:PythonSQLPandasNumPyScikit-learnPyTorchTensorFlowMicrosoft AzureAzure Machine LearningAzure Data Lake Storage (ADLS Gen2)Azure Synapse AnalyticsAzure Data FactoryAzure SQLAzure DevOpsGitHubCI/CDAzure Event HubsAPIsCopilot StudioVector databases

Eligibility

Nationality:US National
Security Clearance:Public Trust

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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