PTF Consulting, LLC. · 1 day ago
Sr. Machine Learning Engineer & MLOps POD Lead
Fort Worth, TX, US
Full-time
Onsite
Senior Level
7+ years expPTF Consulting, LLC is seeking a Senior Machine Learning Engineer & MLOps Pod Lead to lead a delivery pod of engineers and data scientists focused on production-grade ML systems. This hands-on technical leadership role involves designing, deploying, and operating ML solutions while ensuring compliance with various regulatory and operational requirements.
Staffing & Recruiting
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Design, deploy, and operate end-to-end machine learning pipelines supporting TB-scale datasets integrated with enterprise data lakes and warehouses
Architect and maintain production-grade MLOps platforms across Azure, AWS, and/or GCP, with primary deployment emphasis on Microsoft Azure
Build and own CI/CD pipelines for ML training, testing, versioning, deployment, and monitoring
Establish monitoring for model performance, data drift, system health, and operational reliability
Ensure ML services meet availability, performance, and scalability targets, including 99.9% uptime requirements
Partner with data engineering teams on ETL workflows, feature pipelines, and data modeling strategies
Deploy and operate ML workloads on Kubernetes-based platforms in production environments
Lead a pod of 3–5 engineers and data scientists, providing technical direction, mentorship, and code reviews
Own delivery outcomes across a mixed portfolio of commercial and public sector projects
Balance delivery velocity with security, compliance, and operational risk considerations
Translate business, mission, and regulatory requirements into scalable, maintainable ML system designs
Serve as the technical escalation point for production issues and architectural decisions
Design and operate ML systems aligned with applicable public sector standards, including the NIST AI Risk Management Framework
Ensure secure handling of sensitive bioscience, healthcare, and government data
Implement bias detection, mitigation, explainability, and documentation practices across deployed models
Support audit readiness and compliance documentation for regulated environments
Qualification
Required
U.S. Citizen with an active DoD, Intelligence Community, or DHS clearance, or eligibility to obtain and maintain one
Bachelors degree in Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience
7+ years of hands-on experience in machine learning engineering and/or MLOps with production deployments
Strong proficiency in Python and experience with modern ML frameworks such as PyTorch or TensorFlow
Demonstrated experience deploying ML workloads in cloud environments (Azure, AWS, or GCP), with depth in Microsoft Azure
1–2 years of hands-on experience deploying and operating workloads on Kubernetes in production
Hands-on experience with CI/CD for ML systems, data lakes and warehouses, and large-scale ETL and data modeling
Strong grounding in software engineering best practices, including testing, version control, documentation, and code quality
Preferred
Experience delivering ML systems for commercial clients and federal or state government programs
Prior technical leadership experience guiding small engineering teams or delivery pods
Experience operating ML systems in Azure Government or other regulated cloud environments
Familiarity with infrastructure-as-code tools such as Terraform
Exposure to AI governance, model risk management, or ethical AI frameworks
Relevant certifications, including: Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, AWS Certified Machine Learning – Specialty, TensorFlow Developer Certificate
Benefits
Competitive salary and comprehensive health benefits.
401(k) with company matching.
Clearance sponsorship for eligible candidates.
Access to advanced training in MLOps, ethical AI, and public sector compliance.
Clear growth path into Lead, Principal, or Staff-level engineering roles as programs expand.
Company
PTF Consulting, LLC.
We are proud to be a Woman-Owned Small Business. At PTF Consulting, LLC, we take the guesswork out of recruiting.
2-10 employees
Funding
Current Stage
Early StageLeadership Team
Megan Alford, PRC, CIR, CMVR
Founder, CEO and Lead Recruiter
Company data provided by crunchbase