PTF Consulting, LLC. · 1 day ago
Machine Learning Engineer / MLOps Engineer (Mid-Level)
Fort Worth, TX, US
Full-time
Onsite
Mid Level
3+ years expPTF Consulting, LLC is seeking a Mid-Level Machine Learning Engineer / MLOps Engineer to join a delivery pod of engineers and data scientists building production ML systems. The role focuses on developing, deploying, and operating machine learning pipelines while collaborating with cross-functional teams and ensuring compliance with security and quality standards.
Staffing & Recruiting
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Contribute to the development, deployment, and operation of production machine learning pipelines
Support model training, evaluation, packaging, and deployment workflows
Assist in building and maintaining CI/CD pipelines for ML training, testing, and inference
Support model versioning, monitoring, retraining, and performance tracking
Help maintain data pipelines, feature engineering processes, and integrations with data lakes and warehouses
Deploy and operate ML workloads in containerized and Kubernetes-based environments with senior guidance
Actively participate in a cross-functional delivery pod alongside ML engineers, data scientists, and software engineers
Contribute to code reviews, sprint planning, and technical design discussions
Collaborate with senior engineers to troubleshoot production issues and improve system reliability
Produce and maintain documentation for ML workflows, deployments, and operational procedures
Adhere to established security, data privacy, and compliance requirements across commercial and government projects
Support model documentation, explainability, and bias evaluation practices required in regulated environments
Contribute to system reliability, performance, and availability targets for deployed ML services
Qualification
Required
U.S. Citizen with the ability to obtain and maintain a DoD, Intelligence Community, or DHS clearance
Bachelors degree in Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience
3–5 years of experience in machine learning engineering, MLOps, or related software engineering roles
Strong proficiency in Python and hands-on experience with ML frameworks such as PyTorch or TensorFlow
Experience deploying or supporting ML workloads in at least one major cloud platform (Azure, AWS, or GCP)
At least 1 year of experience with containerization and/or Kubernetes in development or production environments
Familiarity with CI/CD concepts and tooling for ML or software systems
Solid understanding of software engineering fundamentals, including version control, testing, and documentation
Preferred
Experience supporting machine learning systems in production environments
Exposure to Microsoft Azure services, including Azure Machine Learning or Azure DevOps
Experience working with data lakes, data warehouses, or large-scale datasets
Familiarity with ETL pipelines and foundational data modeling concepts
Exposure to regulated or compliance-driven environments such as healthcare, biotech, or government
Relevant certifications such as Microsoft Azure AI Engineer Associate or AWS Certified Machine Learning – Specialty
Benefits
Competitive salary and comprehensive health benefits.
401(k) with company matching.
Clearance sponsorship for eligible candidates.
Structured mentorship from Senior and Lead MLOps Engineers.
Access to training in MLOps, cloud platforms, and ethical AI delivery.
Defined career progression into Senior Machine Learning Engineer or Senior MLOps Engineer roles.
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