AI/ML Engineer
General Information
Requisition # 658
Locations USA-VA-Arlington
Posting Date 02/10/2025
Security Clearance Required - Public Trust
Remote Type Remote
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 and provide your name and contact information.
Required Experience:
IC
AI/ML EngineerGeneral InformationRequisition # 658Locations USA-VA-Arlington Posting Date 02/10/2025Security Clearance Required - Public TrustRemote Type RemoteTime Type Full time Description & Requirements Elder Research Inc. a wholly owned subsidiary of MANTECH international Corporation seeks a mo...
AI/ML Engineer
General Information
Requisition # 658
Locations USA-VA-Arlington
Posting Date 02/10/2025
Security Clearance Required - Public Trust
Remote Type Remote
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 and provide your name and contact information.
Required Experience:
IC
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