About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is seeking a Software Engineer 2 (Machine Learning) / ML Deployment Engineer to move VISTA (video, image, speech, and text analytics) models from research prototype to production inference services. You will work closely with researchers, product owners, and downstream engineering teams to deliver robust production systems.

• Collaborate with researchers and end users to capture deployment requirements and align prototypes with operational needs
• Build CI/CD, packaging, and deployment pipelines for Python-based ML services
• Implement inference services using NVIDIA Triton Inference Server and optimize runtime with TensorRT and related execution providers
• Create container images, tune container performance, and support orchestration in Kubernetes environments
• Develop Business Logic Scripting (BLS) in-service pipelines and integrate with downstream services
• Measure and improve throughput, latency, and reliability of inference systems
• Produce user documentation, deployment runbooks, and establish best practices for transition to operations
• Troubleshoot system issues and contribute to design decisions including hardware/software trade-offs and infrastructure-as-code

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Minimum Qualifications

Applicants must meet the following baseline qualifications:

• Active Top Secret (TS) clearance with Full Scope Polygraph (TS/SCI with Poly) — ability to maintain eligibility is required
• Bachelor’s degree in Computer Science or related discipline, OR equivalent experience (the posting indicates 14+ years of software engineering experience or substitution of 4 additional years per the original criteria)
• Strong Python development experience, including packaging and testing for production
• Solid understanding of DevOps practices and CI/CD pipeline implementation
• Intermediate/advanced experience creating and optimizing Docker containers
• Beginner/intermediate experience with orchestration tools such as Kubernetes
• Demonstrated experience taking ML or analytics projects from prototype to production
• Strong written and verbal communication skills for technical and non-technical stakeholders
• Self-motivated and able to work both independently and on small collaborative teams

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Preferred Qualifications

These skills are beneficial but not required:

• Experience with software development in C++, Java, Go, or CUDA
• Experience supporting production ML systems and inference-scale deployments
• Familiarity with ML domains such as NLP, Computer Vision, ASR, and video processing
• Knowledge of model formats and optimization workflows (ONNX, TensorRT)

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Security & Eligibility

• This role requires an active Top Secret clearance with Full Scope Polygraph (TS/SCI with Poly). Candidates must already hold this clearance and be eligible to access required facilities and data.
• Employment is contingent on continued clearance eligibility and adherence to client security policies.

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Compensation & Benefits

Confidential Client offers a comprehensive benefits package, which may include:

• Medical, dental, and vision coverage
• Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA)
• Flexible work arrangements (onsite, hybrid, or remote as dictated by assignment)
• 401(k) and company-funded life insurance
• Generous paid time off (PTO)
• Tuition assistance and training
• Employee referral bonuses and discount programs
• Pet insurance

Note: Specific compensation details (salary range) were not provided in the source posting.

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Employment Type & Location

• Employment Type: Full-time
• Location: Fort Meade, MD (onsite/hybrid options as role requires)

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Why Apply

This is an opportunity to join a Confidential Client team delivering mission-focused ML systems within the IT Services and IT Consulting sector. If you enjoy productionizing ML research, optimizing inference pipelines, and working on high-impact government and intelligence community solutions, this role offers technical challenge and operational impact.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.