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AI-ML Engineer

Analytica


Job Location:

Bethesda, MD - USA

Monthly Salary: Not provided by the employer
Posted: 27 September 2026 (10 hours ago)
Application Deadline: 25 December 2026
Vacancies: 1 Vacancy

Job Summary

Analytica isseeking amid-LevelAI-MLEngineerto join our growing data and AI team and help design build and deploy production-grade AI solutions that make a real-world this role you will work hands-on with modern Microsoft Azure services and AI/ML technologies to turn complex data into actionable closely with data engineers analysts and business stakeholders to deliver scalable secure and responsible AI solutions that move from experimentation into daily operations.

This is an excellent opportunity for an engineer who enjoys working across the full AI lifecycleusing areusablesoftware development approachacrossromdata preparation and model development tousing software engineering principles todeployment monitoring and continuous improvementwhile growing their expertise in cloud-native AI andMLOpspractices.

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 thatimpactour day-to-day lives. The company offers competitive compensation with opportunities for bonuses employer-paid health care training and development funds and 401kmatch.

Key Responsibilities:

  • Buildmaintain andoptimizeAzure-based data pipelines and workflows using Azure Data Factory ADLS Gen2 Synapse Analytics Azure SQL Python and SQL.

  • Support batch and nearreal-time data ingestion transformation enrichment and aggregation to deliver analytics- and reporting-ready datasets.

  • Implement data quality checks schema management and validation to ensure reliable trusted and well-documented data.

  • Build secure data pipelines integrate structured/unstructured data and support NLP/ML workloads.

  • Configuremonitor and enhance enterprise AI capabilities across Azure and other approved platforms.

  • Ensure compliance withFederalarchitecture standards EA guidelines and security controls.

  • Produce architecture artifacts test plans security documentation and operational runbooks per sprint requirements.

  • Contribute to CI/CD pipelines monitoring troubleshooting and performance tuning to ensure reliable data operations.

  • Work within Agile teams collaborating closely with senior engineers analysts and stakeholders to deliver well-defined data requirements.

RequiredExperience &Qualifications:

  • Us Citizen with the ability to secure public trust clearance

  • 3 years of hands-on experience developing and deploying AI/ML solutions in production environments.

  • Strongproficiencyin Python including data analysis and ML libraries (e.g. Pandas NumPy scikit-learnPyTorch TensorFlow).

  • Solid understanding of machine learning concepts model selection training validation and evaluation techniques.

  • Experience working with Microsoft Azure services for data and AI workloads such as

  • Azure Machine Learning

  • Azure Data Lake Storage (ADLS Gen2)

  • Azure Synapse Analytics (SQL and/or Spark)

  • Azure Data Factory

  • Working knowledge ofMLOpsconcepts including CI/CD pipelines version control and model lifecycle management.

  • Experience collaborating in Agile development environments and using modern DevOps tools (e.g. Azure DevOps GitHub).

  • Bachelors degree in Computer Science Data Science Engineering Mathematics or a related field (or equivalent practical experience).

Desired / Preferred Experience:

  • Microsoft Certified: Azure AI Engineer Associate

  • Experience with Copilot Studio or AI agent development including orchestration and integration with APIs and data sources.

  • Familiarity with feature stores vector databases or retrieval-augmented generation (RAG) patterns.

  • Exposure to event-driven or streaming architectures (e.g. Azure Event Hubs).

  • Knowledge of responsible AI practices including fairness explainability model governance and security considerations.

  • Experience working in regulated or mission-driven environments.

  • Azure certifications related to AI data engineering or cloud architecture.

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 law.

To enhance efficiency fairness and accuracy Analytica may use AI-assisted tools to support certain aspects of our hiring process.

  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

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


Required Experience:

Senior IC


About Company

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Analytica is an award-winning federal consulting & IT solutions firm supporting federal health, civilian, & national security missions.

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