AI-ML Engineer

Analytica; Bethesda (MD); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Bonuses

Health insurance

Training funds

401k match

Job summary

Analytica in Bethesda, MD, seeks a mid-level AI/ML engineer to design, build, and deploy production-grade AI solutions on Azure. You will work hands-on with data engineers, analysts, and business stakeholders to turn complex data into actionable intelligence.

This role focuses on building scalable ML pipelines, applying software engineering practices across the AI lifecycle, and maturing cloud-native MLOps while advancing responsible AI practices.

Qualifications

• 3+ years of hands-on experience developing and deploying AI/ML solutions in production environments.
• Strong proficiency in Python with data analysis and ML libraries (Pandas, NumPy, scikit-learn, PyTorch, TensorFlow).
• Experience with Microsoft Azure data and AI services (Azure ML, ADLS Gen2, Synapse, Data Factory).
• Understanding of ML concepts, model lifecycle, training, validation, and evaluation.
• Experience with CI/CD and DevOps tools (Azure DevOps, GitHub).

Responsibilities

• Build, maintain, and optimize Azure-based data pipelines and AI workflows.
• Support data ingestion, transformation, enrichment, and dataset preparation for analytics and reporting.
• Implement data quality checks, schema management, and documentation.
• Develop and deploy NLP/ML workloads and secure data pipelines.
• Contribute to CI/CD, monitoring, and performance tuning in Agile teams.

Skills

Python (data analysis & ML libraries)

Azure cloud services

CI/CD & MLOps

Agile / DevOps

Education

Bachelor’s degree in CS/DS/Math or related

Tools

Azure Machine Learning

ADLS Gen2

Azure Synapse Analytics

Azure Data Factory

Python

Job description

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 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’llcollaborate 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 improvement—while 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:

• Build,maintain, andoptimizeAzure-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 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-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 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).

• 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.

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 analytica.net to verify its authenticity.