{"id":1037834,"url":"https://alion.io/job/ardent-principles-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":668946,"name":"Ardent Principles","domain":"ardentprinciples.com","url":"https://alion.io/company/ardentprinciples","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Pinpoint","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0.25,"time_to_fill_p50_days":11,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":260000,"currency":"USD","period":"year","gross":null,"usd_annual":260000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache HTTP Server","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"Confluence","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"JavaScript","optional":false},{"name":"Kibana","optional":false},{"name":"Machine Learning","optional":false},{"name":"Neo4j","optional":false},{"name":"PostgreSQL","optional":false},{"name":"React.js","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-09-17T17:07:03Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-11-10T18:02:53Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":53},"description":"REQUIRED: Active TS/SCI with Full Scope Polygraph\nLOCATION: Full-time onsite in Chantilly, VA area\nWe’re seeking a Machine Learning Engineer ready to build production-grade solutions on OpenLake-someone who can navigate complex data environments, develop and deploy scalable pipelines, and deliver web applications that stand up in real-world mission operations. In this role, you’ll design AI/ML capabilities that answer high-value intelligence questions, work hands-on with technologies like Elasticsearch, Neo4j, Kibana, JavaScript, Trino, Hive, and Apache, and leverage AWS and GPU-accelerated computing to push performance at scale.\nWho We Are:\n We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, and IT program management.\nPassionate Integrity, Driven by Excellence\nArdent Principles offers a competitive salary range and a comprehensive, industry-leading benefits package designed to support long-term stability and employee well-being. We provide more than a position-we offer a workplace committed to excellence, integrity, and mission-focused impact. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.\nJoin us as we continue building the future of secure, high-impact solutions.\nKey Responsibilities and Experience needed\nIn this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with:\nWorking on OpenLake.\nNavigating, developing, and deploying production ready data pipelines and web applications on OpenLake.\nDeveloping AI/ML solutions that can answer key intelligence questions.\nUusing Elasticsearch, Neo4j, Kibana, JavaScript, Trino, Apache Hive, and Apache.\nLeveraging Amazon Web Services for automation, app deployment, and resource management.\nLeveraging GPUs for accelerated computing.\nWorking with junior data scientists, data engineers, and application developers.\nManaging and developing system accreditation and security relevant documentation.\nWorking with multiple stakeholders.\nDeveloping deliverables at scale, and not one-off solutions.\nHighly Desired Qualifications\nOther skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include working with:\nAmazon Web Services certifications.\nSponsor A&A processes.\nWorking with a variety of the Sponsor's data systems and sources.\nKnowledge in the Sponsor's Data Management principles and workflows.\n OTHER RELEVANT TECHNOLOGIES/TOOLS\nExperience with:\nWorking closely with the Sponsor's technical team (Data Scientists, Data Engineers, Application Developers, and Data Management Coordinators) to implement requirements as dictated by the Sponsor's GTM priorities.\nCreating resilient data engineering pipelines that leverage open-source technologies such as, Trino, Iceberg, SQL, Postgres, Spark, Neo4j, Elasticsearch, Apache Hive and integrate seamlessly within OpenLake.\nDeveloping robust web applications utilizing modem web frameworks such as React and Node on the Sponsor's OpenLake platform.\nProviding technical guidance to the Sponsor's technical team on an ad-hoc basis.\nProviding subject matter expertise on AI/ML, web application development, and ETL.\nEnsuring that all technical development and content complies with the Sponsor's security policies and regulations.\nUtilizing project management systems such as Confluence and JIRA to define and track requirements.\nMaintaining all code, to include infrastructure, in GitHub, which can be readily accessible to the Sponsor.\nMaintaining all cloud infrastructure and system accreditation associated with the OpenLake platform and production applications developed on the platform.\nWhat We Offer You\nHighly Competitive Salary: Recognizing and rewarding your expertise and contributions.\nGenerous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.\nDedicated Training Budget: Supporting continuous learning and professional development.\n100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.\n100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.\n 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.\n11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.\nSpot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.\n SCHEDULE:\nThis is a full-time position with consultants expected to be available and working onsite in the Washington Metro area during core hours.\nReady to take the next step in your career? Join us and be part of a team dedicated to driving positive change through technology. Apply now with our easy 3-minute, mobile-friendly initial application process. 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