Senior Machine Learning Engineer
Hybrid · Dallas, Texas, United States
Job Summary
Senior Machine Learning Engineer responsible for leading the evolution of core Python SDK frameworks and Agentic AI capabilities. You will build production-grade tools to deploy autonomous systems, develop scalable agentic/workflow orchestration, architect high-performance APIs using FastAPI, and automate CI/CD pipelines (Jenkins, GitLab Runners). You’ll work with internal SDKs (e.g., PyVegas) and evaluation platforms (Galileo) to ensure reliability, observability, and safe operation of agentic systems, collaborating with cross-functional teams to translate research into production-ready solutions. Key skills include Python ML ecosystems, agentic/multi-agent frameworks, MLOps practices, containerization (Docker/Kubernetes), and experience delivering scalable tooling for ML services.
Required Qualifications
- 3-6+ years of experience in machine learning or a closely related field
- Experience with Python and ML tooling ecosystem
- Experience building production-grade software and APIs
- Familiarity with agentic or multi-agent architectures
- Experience with CI/CD tooling (e.g., Jenkins, GitLab Runners)
- Experience with FastAPI or similar frameworks
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Ability to design scalable infrastructure and OSS-style tooling
- Strong collaboration across cross-functional teams
- Experience with observability, model evaluation, and deployment in production environments
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