AI-ML Engineer

• 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- 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.

• Configure, monitor, and enhance enterprise AI capabilities across Azure and other approved platforms.

• Ensure compliance with Federal architecture 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., 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.

• 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.

• Strong proficiency in Python, including data analysis and ML libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, 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 of MLOps concepts, 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).

• Bachelor’s 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.

Target Salary* What level of government security clearance do you hold? If applicable, please list any Federal agencies you currently hold a clearance for? LinkedIn Profile* Where did you hear about Analytica?* Do you acknowledge and agree that your application may be reviewed by AI-assisted tools, and that interviews may be recorded or summarized using AI notetakers?* Yes, I acknowledge and agreeNo, I do not agree The following questions are entirely optional. To comply with government Equal Employment Opportunity and/or Affirmative Action reporting regulations, we are requesting (but NOT requiring) that you enter this personal data. This information will not be used in connection with any employment decisions, and will be used solely as permitted by state and federal law. Your voluntary cooperation would be appreciated. Learn more. Gender Race/Ethnicity, Invitation for Job Applicants to Self-Identify as a U.S. Veteran

• A “disabled veteran” is one of the following:
• a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or
• a person who was discharged or released from active duty because of a service-connected disability.
• A “recently separated veteran” means any veteran during the three-year period beginning on the date of such veteran’s discharge or release from active duty in the U.S. military, ground, naval, or air service.
• An “active duty wartime or campaign badge veteran” means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
• An “Armed forces service medal veteran” means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Analytica is seeking a mid-Level AI-ML Engineer to join our growing data and AI team and help design, build, and deploy production-grade AI solutions that make a real-world impact. In this role, you will work hands-on with modern Microsoft Azure services and AI/ML technologies to turn complex data into actionable intelligence. You’ll collaborate 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 lifecycle using a reusable software development approach across rom data preparation and model development to using software engineering principles to deployment, monitoring, and continuous improvement-while growing their expertise in cloud-native AI and MLOps practices.

Analytica has been recognized by Inc. Magazine as 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 that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match., When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.