Job Description As a Senior AI/ML Engineer, you will lead the design, deployment, and operation of production-grade AI systems that power the federal client Sentinel model protecting more consumers, faster, from more hazards by using analytics to shorten time to intervention. You will own end-to-end model lifecycle engineering on Azure, advance MLOps best practices, and build AI agents using Copilot Studio and Python frameworks that translate signals into timely, actionable decisions. This role offers a high-impact opportunity to apply advanced AI/ML expertise in a federal mission environment, directly improving public safety outcomes.
Key Responsibilities
Build & Ship Production Models
- Implement and productionize ML solutions (supervised/unsupervised, NLP, deep learning)
with robust data preprocessing, feature engineering, and evaluation pipelines.
- Support model selection, training, validation, optimization, and calibration, ensuring
reliability, fairness, and performance at scale.
MLOps Lifecycle (Azure)
- Establish MLOps workflows including CI/CD for ML, experiment tracking, model registry, and
reproducible builds and deployments.
- Implement model monitoring (drift, data/feature quality, bias, and business KPIs), alerting,
and automated rollback.
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.
Engineering Excellence & Governance
- Champion secure-by-design practices, reproducibility, and auditability including model
cards, data sheets, and deployment records.
- Contribute to coding standards and code reviews; support knowledge sharing across the
team.
Agile Collaboration & Impact
- Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous
improvement.
- Translate mission goals into technical contributions aligned with Sentinel time-to-intervention
targets.
Required Qualifications
- Experience: 3+ years hands-on developing and deploying AI/ML models in production
environments.
- Programming: Proficient in Python, including packaging, testing, and performance
optimization.
- ML Expertise: Understanding of algorithms, model selection,
training/validation/optimization, and evaluation at scale.
- Data Skills: Proficient in data preprocessing, feature engineering, and data visualization for
decision support.
- Deep Learning & MLOps: Proficient with PyTorch/TensorFlow and modern MLOps
including deployment, monitoring, scaling, CI/CD, experiment tracking, and model registry.
- Cloud: Experience with Azure for AI/ML workloads, including Azure ML, Azure Synapse,
and Azure Data Lake.
- AI Agents: Experience developing AI agents in Copilot Studio and via Python frameworks.
- Education: Bachelor's degree or equivalent experience in Computer Science, Data
Science, Mathematics, Statistics, Engineering, or related field.
Preferred Qualifications
- Experience with streaming/event-driven architectures (Event Hubs), feature stores, and
vector databases for retrieval augmented generation (RAG).
- Hands-on with responsible AI including fairness, explainability, privacy, model governance,
and security in cloud ML.
- Familiarity with domain-specific risk analytics and public sector or regulated environments.
- Certifications in Azure AI/ML and/or MLOps.
Other Qualifications
- Strong analytical and problem-solving skills, with the ability to break down complex
processes and design effective solutions.
- Excellent communication skills, able to translate complex technical concepts for diverse
audiences.
- Demonstrated eagerness to learn and adopt new technologies, while actively sharing
knowledge with the team.
- Must be able to pass a CPSC background check and obtain a government-issued ID badge
prior to starting work.
- Public sector consulting experience is a plus.
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