Machine Learning Engineer
Hybrid · Austin, Texas, United States
Job Summary
Design and develop AI/ML-enabled applications and workflow automation solutions; build scalable machine learning pipelines and production-ready systems; collaborate with engineering, implementation, product, and delivery teams to identify process bottlenecks and deploy AI-driven improvements that enhance software delivery and operational efficiency; integrate AI/ML into production environments; stay current with emerging AI/LLM technologies and apply them to automation and optimization of delivery workflows.
Required Qualifications
- 5–8 years of relevant software engineering and/or machine learning experience
- Strong Python engineering background
- Experience with AI/LLM technologies and frameworks such as OpenAI, Claude, PyTorch, TensorFlow, LangChain, or similar tools
- Experience building and deploying production-grade applications, automation systems, or ML solutions
- Familiarity with cloud platforms and scalable infrastructure environments
- Experience within SaaS, enterprise software, fintech, or implementation-heavy technology organizations preferred
- Strong problem-solving, communication, and collaboration skills
- Experience working cross-functionally with technical and operational teams
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.