AI/ML Engineer (Senior)

Role: AI/ML Engineer (Senior)

Reports to: Program Manager

Work Hours: 40 hour week with core hours of 9-5pm

OnPoint, a wholly-owned subsidiary of Sapient Government Services, is a vibrant, energetic, and growing ISO-certified technology and management consulting partner that provides critical thinking, strategic analysis, and thought leadership in a collaborative environment in an enduring effort to improve performance, lower costs, and achieve results for clients. We are guided by our principles: Clarity. Action. Results—for each client engagement we work to gain clarity, move into action, and achieve results. OnPoint specializes in delivering solutions in Cybersecurity, Strategic Communications, Information Assurance, Network Operations, Project Management and Systems Development.

JOB DESCRIPTION

Summary/Objective

The Senior AI/ML Engineer will lead the design, deployment, and operation of production-grade AI systems that power Consumer Product Safety Commission's (CPSC) Sentinel model - protecting more consumers, faster, from more hazards by using analytics to shorten time to intervention. This role will own endtoend model lifecycle engineering on Azure, advance MLOps best practices, and build AI agents (Copilot Studio + Python frameworks) that translate signals into timely, actionable decisions.

Essential Functions

• Build & Ship Production Models
• Architect, implement, and productionize ML solutions (supervised/unsupervised, NLP, deep learning) with robust data preprocessing, feature engineering, and evaluation pipelines.
• Lead model selection, training, validation, optimization, and calibration, ensuring reliability, fairness, and performance at scale.
• Own the MLOps Lifecycle (Azure)
• Establish MLOps workflows (CI/CD for ML, experiment tracking, model registry, reproducible builds and deployments).
• Implement model monitoring (drift, data/feature quality, bias, and business KPIs), alerting, and automated rollback to keep systems safe and responsive.
• Data Engineering for ML
• Design high-quality data pipelines (ingest, transform, validate) across structured and unstructured sources; enforce data contracts and lineage.
• Partner with analytics teams to make datasets discoverable, documented, and performant for iterative model development.
• AI Agents & Copilot Integration
• Build AI agents that operationalize safety analytics (Copilot Studio, Python agents, retrieval pipelines) to accelerate triage and decision flow.
• Integrate agents with APIs, event streams, dashboards, and case management systems to reduce cycle time from signal to action.
• Engineering Excellence & Governance
• Champion secure-by-design practices, reproducibility, and auditability (model cards, data sheets, deployment records).
• Contribute to coding standards, code reviews, and knowledge sharing; mentor engineers and data scientists.
• Agile Collaboration & Impact
• Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement.
• Translate mission goals into technical roadmaps and measurable outcomes tied to Sentinel time-to-intervention targets.

Required Competencies

• Experience: 5+ years hands-on developing and deploying AI/ML models in production environments.
• Programming: Expert in Python (including packaging, testing, performance optimization).
• ML Expertise: Deep understanding of algorithms, model selection, training/validation/optimization, and evaluation at scale.
• Data Skills: Expert in data preprocessing, feature engineering, and data visualization for decision support
• Deep Learning & MLOps: Expert with PyTorch/TensorFlow, and modern MLOps (deployment, monitoring, scaling, CI/CD, experiment tracking, model registry).
• Cloud: Proven experience with Azure for AI/ML workloads (e.g., Azure ML, Azure Synapse, Azure Data Lake).
• AI Agents: Experience developing AI agents in Copilot Studio and via Python frameworks (tooling, orchestration, retrieval, connectors)

Preferred Qualifications

• Experience with streaming/event-driven architectures (Event Hubs), feature stores, and vector databases (for retrieval augmented generation).
• Hands-on with responsible AI (fairness, explainability, privacy), model governance (model cards, audits), and security in cloud ML.
• Familiarity with domain-specific risk analytics and public sector/regulated environments.
• Certifications in Azure AI/ML and/or MLOps advantageous.

Supervisory Responsibility

This position has no supervisory responsibilities.

Work Environment

OnPoint offers a hybrid work environment, meaning that most work can be done remotely, while some work needs to be completed on-premise.

Physical Demands

While performing the duties of this job, the employee is occasionally required to move physical IT equipment.

Position Type/Expected Hours of Work

40 hour work week

Travel

Occasional travel to a client site or event/conference will be required.

Desired Education and Experience

• PhD, Master’s degree, or equivalent experience in Computer Science, Data Science, Mathematics, Statistics, Engineering, related field, OR equivalent professional experience.

· Minimum of 5 years of professional experience

· Experience in the Government contracting industry

Additional Eligibility Qualifications

N/A

Work Authorization/Security Clearance

None required.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

AAP/EEO Statement

As part of our dedication to an inclusive and diverse workforce, OnPoint is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hr@onpointcorp.com or you may call us at 703-841-5500.