Machine Learning Engineer

Machine Learning Engineer 6 Month Contract (Possible extension) Location: 100% Remote (Client located in Dallas, TX) Work Shift: Monday through Friday (8:00AM – 5:00PM PST) • Must be able to work on W-2 basis Job Description This global financial technology leader has an immediate long-term contract opportunity in Dallas, TX CA for a Machine Learning Engineer. Contract Duration: 12+ Months - Design, build, and maintain end-to-end MLOps pipelines for data prep, training, validation, packaging, and deployment. - Develop FastAPI microservices for model inference with clear API contracts, versioning, and documentation. - Define and implement deployment strategies on AKS (blue/green, canary, shadow; champion/challenger) using GitOps with Argo CD. - Architect and evolve a self-serve MLOps platform (standards, templates, CLI/scaffolds) enabling repeatable, secure model delivery. - Operationalize scikit-learn and other frameworks (e.g., PyTorch, XGBoost) for low-latency, scalable serving. - Implement CI/CD for ML (test, security scan, build, package, promote) using GitHub Enterprise and related tooling. - Integrate telemetry and observability (logging, metrics, tracing) and establish SLOs for model services. - Monitor model and data drift; automate retraining, evaluation, and safe rollout/rollback workflows. - Collaborate with software engineers to integrate ML services into client applications and shared platforms. - Champion best practices for code quality, reproducibility, and governance (model registry, artifacts, approvals). Required Qualifications - Strong Python engineering skills and production experience building services with FastAPI. - Proven MLOps experience: packaging, serving, scaling, and maintaining models as APIs. - Hands-on CI/CD for ML (GitHub Enterprise or similar), including automated testing and release pipelines. - Containerization and orchestration expertise (Docker, Kubernetes) with production deployments on AKS. - GitOps experience with Argo CD; practical knowledge of deployment strategies (blue/green, canary, rollback). - Solid understanding of RESTful API design, microservices patterns, and API contract governance. - Experience designing or contributing to an MLOps platform (standards, templates, tooling) for repeatable delivery. - Ability to work cross-functionally with data scientists, software, and platform/SRE teams. Preferred Qualifications - Minimum 2+ years related experience - Experience with ML lifecycle tools (MLflow or similar for tracking/registry) and feature stores. - Exposure to Databricks and enterprise data/compute environments. - Cloud experience on Azure (preferred), plus GCP familiarity and managed ML services. - Familiarity with Agile practices; experience with Helm/Kustomize, secrets management, and security scanning. You will receive the following benefits: • Medical Insurance & Health Savings Account (HSA) • 401(k) • Paid Sick Time Leave • Pre-tax Commuter Benefit Motion Recruitment provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in today’s highest-demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients. Applicants must be currently authorized to work in the U.S. on a full-time basis now and in the future.