AI-ML Engineer
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Before you apply
SalaryNo pay range posted
LocationBethesda, MD
Typefull-time
SeniorityMid
Experience3+ yrs
Company size20+ people
First seenOct 14, 2026 · 3w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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, ADLS Gen2, Azure Synapse Analytics, 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)
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
U.S. Citizen with the ability to secure public trust clearance
Skills
Python
Pandas
NumPy
scikit-learn
PyTorch
TensorFlow
Azure Machine Learning
Azure Data Lake Storage (ADLS Gen2)
Azure Synapse Analytics
Azure Data Factory
Azure SQL
SQL
Azure DevOps
GitHub
Azure Event Hubs
Copilot Studio
Benefits
Employer paid health care
Training and development funds
401(k) match
Bonuses
About the role
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.
About the company
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.
Responsibilities
Key Responsibilities:
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Build, maintain, and optimize Azure-based data pipelines and workflows using Azure Data Factory, ADLS Gen2, Synapse Analytics, Azure SQL, Python, and SQL.
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Support batch and near–real-time data ingestion, transformation, enrichment, and aggregation to deliver analytics- and reporting-ready datasets.
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Implement data quality checks, schema management, and validation to ensure reliable, trusted, and well-documented data.
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Build secure data pipelines, integrate structured/unstructured data, and support NLP/ML workloads.
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Configure, monitor, and enhance enterprise AI capabilities across Azure and other approved platforms.
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Ensure compliance with Federal architecture standards, EA guidelines, and security controls.
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Produce architecture artifacts, test plans, security documentation, and operational runbooks per sprint requirements.
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Contribute to CI/CD pipelines, monitoring, troubleshooting, and performance tuning to ensure reliable data operations.
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Work within Agile teams, collaborating closely with senior engineers, analysts, and stakeholders to deliver well-defined data requirements.
Requirements
Required Experience & 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.
•
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).
Nice to have
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.
Legal
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.
Hiring process
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
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Application Review: AI tools may help identify skills and experiences relevant to the role.
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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.