AI/ML Engineer

🔥 1 hour ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Rackner

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🎖️ Defense

🤖 Artificial Intelligence

Consulting • Defense • Artificial Intelligence

Rackner is a technology company specializing in applying emerging technologies to mission-critical problems in both the public and private sectors. As a Kubernetes Certified Service Provider, Rackner's experienced engineers manage large clusters in production environments for major organizations. The company focuses on cloud-native solutions, DevSecOps, AI, and platform development to modernize business-critical applications. Rackner is also involved in developing innovative systems using Edge, IoT/Mobile, and VR technologies. The company has been recognized on the Inc 5000 List of Fastest Growing Companies and has secured significant contracts with the Department of Defense and the Department of Homeland Security.

📋 Description

• Support the responsible integration of artificial intelligence into educational and operational business processes • Design, develop, test, and deploy AI-driven solutions and process automations • Conduct AI readiness assessments for proposed use cases • Perform feasibility, benefit, risk, and implementation analyses using standardized evaluation frameworks • Evaluate candidate AI use cases based on mission value, data readiness, technical complexity, security, governance, and expected return • Develop technical supplements to enterprise AI governance frameworks, including tool evaluation criteria, model monitoring protocols, risk and control requirements, incident response procedures, and human oversight mechanisms • Design and implement AI-enabled business process automations using Power Automate, Power Apps, Copilot Studio, or comparable platforms • Develop AI-enabled solutions through intake, requirements assessment, solution design, prototyping, testing, validation, security and governance review, deployment, and post-deployment monitoring • Build and maintain AI agents and agent-enabled workflows • Develop intelligent document processing capabilities for classification, extraction, summarization, routing, and related use cases • Integrate AI capabilities with enterprise applications, data platforms, APIs, and workflow systems • Develop and maintain automated workflows incorporating AI or machine learning components • Support AI tool evaluations, pilot programs, and proof-of-concept initiatives • Develop evaluation criteria, test plans, success metrics, and recommendations for AI pilots • Evaluate emerging AI, machine learning, generative AI, and large language model platforms • Assess Department of Defense-developed, Government-provided, and commercially acquired AI/LLM platforms • Support procurement readiness activities for AI tools • Develop AI-enabled analytics capabilities including predictive modeling, forecasting, natural-language query, classification, anomaly detection, and decision support • Support semantic models and AI-ready data products within enterprise Lakehouse environments • Develop Python-based AI/ML prototypes, integrations, evaluations, and automation components • Support testing for accuracy, performance, reliability, bias, robustness, and operational suitability • Establish model performance metrics and monitoring processes • Support identification, triage, documentation, and response for AI-related incidents or unexpected model behaviors • Collaborate with data engineers, analysts, governance teams, cybersecurity teams, and application developers • Translate stakeholder needs into AI use cases, technical requirements, solution designs, and acceptance criteria • Support stakeholder engagement, demonstrations, workshops, training, adoption, and change management • Develop technical documentation, implementation guides, evaluation reports, and user-facing materials • Ensure AI solutions align with organizational AI strategies, guidelines, security requirements, and responsible AI principles

🎯 Requirements

• Experience designing, developing, evaluating, or implementing AI/ML solutions • Experience with responsible AI frameworks, governance, or risk-management practices • Experience with Power Automate, Copilot Studio, or comparable AI and workflow automation platforms • Python proficiency • Experience working with APIs, data sources, and enterprise applications to integrate AI-enabled capabilities • Experience evaluating, piloting, or deploying AI, machine learning, generative AI, or LLM-based tools in organizational environments • Understanding of the AI/ML solution lifecycle, including requirements gathering, development, testing, deployment, monitoring, and maintenance • Experience developing prototypes, proofs of concept, or production AI-enabled applications • Familiarity with model evaluation, performance measurement, and monitoring approaches • Ability to assess technical feasibility, business value, implementation complexity, and risk for AI use cases • Strong analytical, problem-solving, communication, and documentation skills • Experience working with technical and non-technical stakeholders • Ability to translate operational needs into practical AI-enabled solutions • Active Secret clearance • Preferred: Familiarity with the Department of Defense Responsible AI Strategy and related DoD AI guidance • Preferred: Experience developing or implementing AI governance frameworks • Preferred: Experience with generative AI and large language models • Preferred: Experience building AI agents or agentic workflows • Preferred: Experience with retrieval-augmented generation, embeddings, semantic search, or vector databases • Preferred: Experience developing intelligent document processing solutions • Preferred: Experience with Microsoft Fabric, Azure AI, Azure OpenAI, or related Microsoft cloud AI services • Preferred: Experience with Power Platform technologies, including Power Apps and Power Automate • Preferred: Experience developing predictive analytics, forecasting, or natural-language analytics capabilities • Preferred: Experience with model evaluation frameworks, guardrails, human-in-the-loop controls, or AI observability • Preferred: Experience evaluating AI tools for security, privacy, reliability, bias, and organizational fit • Preferred: Experience supporting AI procurement, technology selection, or pilot programs • Preferred: Familiarity with AI capabilities within enterprise Lakehouse or semantic-model architectures • Preferred: Experience within Department of Defense, federal, or education environments

🏖️ Benefits

• Company-supported certifications aligned to current and future program work, including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and related technical areas • Clear advancement tracks and future leadership opportunities • 401(k) with 100% match up to 6% • Comprehensive medical, dental, vision, life, and disability coverage • Generous PTO and paid holidays • Home-office equipment plan and remote work support • Fitness and wellness reimbursement • Weekly pay schedule • Team events