MLOps Engineer
Bethesda, MD - USA
Job Summary
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 youll 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.- 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.
- 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.
- 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/ 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.
AboutANALYTICA: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 establishedSBAsmall businessthat hasbeen recognized byInc. Magazineeach of the past three years as one of the 250 fastest-growingcompanies in theU.S. Analytica specializes in providing software and systems engineering information management analytics & visualization agile project management and management consulting companyis appraised by theSoftware Engineering Institute (SEI) atCMMI Maturity Level 3and is anISO 9001:2008 certifiedprovider.
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:
Manager
About Company
Analytica is an award-winning federal consulting & IT solutions firm supporting federal health, civilian, & national security missions.