Posted today
Public Trust
Unspecified
Unspecified
(On-Site/Office)
AI/ML Engineer
General Information
Requisition # 658
Locations USA-VA-Arlington
Posting Date 02/10/2025
Security Clearance Required - Public Trust
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented AI/ML Engineer. The mid-level AI/ML Engineer will assist in the design, deployment, and operation of production-grade AI systems that support the customers Sentinel modelhelping protect more consumers, faster, from a wider range of hazards by using analytics to reduce time to intervention. This role involves end-to-end model lifecycle engineering on Azure, applying advanced MLOps best practices, and building AI agents (using Copilot Studio and Python frameworks) that convert signals into timely, actionable decisions.
Responsibilities include but are not limited to:
Minimum Qualifications:
Preferred Qualifications:
Clearance Requirements:
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.
General Information
Requisition # 658
Locations USA-VA-Arlington
Posting Date 02/10/2025
Security Clearance Required - Public Trust
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented AI/ML Engineer. The mid-level AI/ML Engineer will assist in the design, deployment, and operation of production-grade AI systems that support the customers Sentinel modelhelping protect more consumers, faster, from a wider range of hazards by using analytics to reduce time to intervention. This role involves end-to-end model lifecycle engineering on Azure, applying advanced MLOps best practices, and building AI agents (using Copilot Studio and Python frameworks) that convert signals into timely, actionable decisions.
Responsibilities include but are not limited to:
- Build, Deploy & Maintain ML Models
- Implement, productionize, and optimize ML solutions (supervised/unsupervised, NLP, deep learning) with robust data preprocessing, feature engineering, evaluation, and calibration pipelines to ensure reliability, fairness, and performance at scale.
- MLOps & Data Engineering (Azure)
- Establish end-to-end MLOps workflows including CI/CD, experiment tracking, model registry, reproducible builds, and deployments.
- Design high-quality data pipelines (ingest, transform, validate) across structured and unstructured sources, enforce data contracts/lineage, and collaborate with analytics teams to make datasets discoverable, documented, and performant.
- Implement model monitoring (drift, data/feature quality, bias, business KPIs), alerting, and automated rollback for safe, responsive systems.
- AI Agents & System Integration
- Build AI agents using Copilot Studio and Python frameworks to operationalize safety analytics, accelerating triage and decision-making.
- Integrate agents with APIs, event streams, dashboards, and case management systems to reduce time from signal to action.
- Engineering Excellence, Governance & Agile Delivery
- Champion secure-by-design practices, reproducibility, and auditability (model cards, data sheets, deployment records).
- Contribute to coding standards, code reviews, knowledge sharing, and mentoring.
- Work in Agile teams to drive iterative delivery, continuous improvement, and translate mission goals into technical roadmaps and measurable outcomes tied to Sentinel time-to-intervention targets.
Minimum Qualifications:
- Experience & Education:
- 3+ years hands-on developing and deploying AI/ML models in production environments.
- Bachelors degree or equivalent professional experience in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field.
- Programming & ML Expertise:
- Proficient in Python, including packaging, testing, and performance optimization.
- Solid understanding of ML algorithms, model selection, training, validation, optimization, and evaluation at scale.
- Skilled in data preprocessing, feature engineering, and visualization to support decision-making.
- Deep Learning, MLOps & Cloud:
- Experienced with PyTorch/TensorFlow and modern MLOps practices, including deployment, monitoring, scaling, CI/CD, experiment tracking, and model registry.
- Hands-on experience with Azure for AI/ML workloads (Azure ML, Azure Synapse, Azure Data Lake).
- AI Agents & Integration:
- Experience developing AI agents using Copilot Studio and Python frameworks, including tooling, orchestration, retrieval, and connectors.
Preferred Qualifications:
- Experience with streaming and event-driven architectures (Event Hubs), feature stores, and vector databases for retrieval-augmented generation.
- Hands-on with responsible AI practices (fairness, explainability, privacy), model governance (model cards, audits), and cloud ML security.
- Familiarity with domain-specific risk analytics and working in public-sector or regulated environments.
- Azure AI/ML and/or MLOps certifications considered advantageous.
Clearance Requirements:
- Current Public Trust Desired
- Must be a US Citizen and be able to obtain and maintain a Public Trust clearance prior to starting this position
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.
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