ML OPS Engineer

Analytica; Bethesda (MD); On-site; USD 160,000 - 190,000; Full time

Job summary

Analytica in Bethesda, MD seeks an experienced MLOps Engineer to automate secure deployment, evaluation, monitoring, and lifecycle management for on-prem AI services as part of a Federal data analytics initiative.

The team will deliver a secure, scalable platform that integrates structured and unstructured data, provides data visualization and traceable AI-assisted analytics, and offers examiners centralized tools for search, review, monitoring, and decision support.

Qualifications

• Building, integrating, and operating data pipelines for ML, NLP, or analytics.
• Feature engineering, document processing, embeddings, curated datasets.
• Proficiency in Python and SQL for data engineering, automation, and model support.
• Experience with structured and unstructured data prep for AI/ML or analytics applications.
• Data quality controls, provenance, metadata, versioning, lineage, and traceability for AI/ML systems.
• Clear technical documentation covering pipelines, schemas, transformations, dependencies, and operations.
• Strong communication, problem-solving, and cross-functional collaboration skills.
• U.S. citizenship and ability to obtain and maintain Top Secret eligibility.
• Active Top Secret clearance highly preferred.

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT workflows for ML, NLP, retrieval, and analytics.
• Prepare, transform, curate, and validate structured and unstructured data for AI/ML apps.
• Perform feature engineering, document processing, embeddings generation, and dataset preparation.
• Develop reproducible data transformations and workflows using Python, SQL, and related data engineering tech.
• Implement data quality, validation, provenance, metadata, versioning, and traceability across the data lifecycle.
• Prepare and integrate data for search, Retrieval-Augmented Generation (RAG), visualization, analytics, and AI-assisted decision support.
• Troubleshoot data pipeline, transformation, integration, and data-quality issues across environments.
• Collaborate with data engineering, data science, software engineering, and AI/ML teams during development and testing.
• Develop technical documentation covering data architecture, pipelines, schemas, dependencies, and operational procedures.
• Support deployment and operation of data engineering capabilities within secure Federal, on-premises, cloud, or hybrid environments.
• Ensure compliance with Federal security, privacy, accessibility, records-management, data-ownership, and governance requirements.

Skills

MLOps experience

Data pipelines

Python

SQL

Data quality controls

CI/CD

Cross-functional collaboration

Technical documentation

US citizenship

Top Secret eligibility

Top Secret clearance preferred

Tools

Kubernetes

Rancher

Jenkins

Azure DevOps

PostgreSQL

Microsoft SQL Server

Job description

We are seeking an experienced MLOps Engineer to automate secure deployment, evaluation, monitoring, and lifecycle management for on-premises AI services for a Federal data analytics and AI modernization initiative.

The team will deliver a secure, scalable platform that integrates structured and unstructured data, provides data visualization and traceable AI-assisted analytics, and gives examiners centralized tools for search, review, monitoring, and decision support. The platform will support professional judgment and will not replace authoritative agency financial or grants-management systems or execute financial transactions.

Analytica has been recognized by Inc. Magazine as the fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. As a core member you’ll work with a diverse team of professionals to solve matters, architect nuisances, and come up with alternatives. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.

Key Technical Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT workflows supporting machine learning, NLP, retrieval, and advanced analytics.
• Prepare, transform, curate, and validate structured and unstructured grants and financial data for AI/ML applications.
• Perform feature engineering, document processing, chunking, embeddings generation, and dataset preparation for AI-assisted analytics and retrieval workflows.
• Develop reproducible data transformations and workflows using Python, SQL, and applicable data engineering technologies.
• Implement and maintain data quality, validation, provenance, lineage, versioning, metadata, and source traceability throughout the data lifecycle.
• Prepare and integrate data for search, retrieval-augmented generation (RAG), visualization, analytics, and AI-assisted decision support.
• Troubleshoot data pipeline, transformation, integration, and data-quality issues across development and testing environments.
• Collaborate with multidisciplinary data engineering, data science, software engineering, and AI/ML teams during iterative development and testing.
• Develop technical documentation covering data architecture, pipelines, transformations, schemas, features, embeddings, dependencies, and operational procedures.
• Support deployment and operation of data engineering capabilities within secure Federal, on-premises, cloud, or hybrid environments.
• Ensure data engineering solutions comply with Federal security, privacy, accessibility, records-management, data-ownership, and governance requirements.

Required Technical Qualifications

• Demonstrated experience building, integrating, and operating data pipelines for machine learning, NLP, information retrieval, or advanced analytics.
• Hands-on experience with feature engineering, document processing, embeddings, curated datasets, data transformation, and reproducible data workflows.
• Strong proficiency in Python and SQL for data engineering, data transformation, automation, and model-support workflows.
• Experience working with structured and unstructured data and preparing data for AI/ML or analytics applications.
• Experience implementing data quality controls, data validation, provenance, metadata, versioning, lineage, and source traceability for AI/ML or data-intensive systems.
• Experience troubleshooting and optimizing data pipelines, integrations, transformations, and data-processing workflows.
• Ability to develop clear technical documentation covering data pipelines, schemas, transformations, dependencies, and operational processes.
• Strong technical communication, problem-solving, and cross-functional collaboration skills.
• U.S. citizenship and ability to obtain and maintain Top Secret eligibility, as required for contractor personnel supporting the effort.
• Active Top Secret clearance highly preferred.

Preferred Technical Qualifications

• Experience supporting Federal data, financial management, budget execution, grants management, payment systems, award oversight, financial reporting, or financial stewardship data.
• Experience delivering data engineering or AI/ML solutions in secure Federal, on-premises, cloud, or hybrid environments.
• Experience with Linux-based environments.
• Experience with PostgreSQL and/or Microsoft SQL Server.
• Experience working with Java and/or .NET applications and integrations.
• Familiarity with Jenkins and CI/CD pipelines.
• Experience with self-hosted Azure DevOps.
• Experience with Kubernetes and/or Rancher.
• Familiarity with open-source AI/ML models and supporting infrastructure.
• Experience supporting RAG, vector search, semantic search, embeddings pipelines, or other AI retrieval architectures.
• Familiarity with Federal data governance, security, privacy, and compliance requirements.

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

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.