AI / MLOps Lead - Onsite - Austin, TX
AI / MLOps Lead - Onsite - Austin, TX
Posted 31 days ago
SENIORITY
Lead
About the role
- Bachelors or Masters degree in Computer Science, Engineering or related field 8+ years of experience in machine learning engineering, including deploying, maintaining, and troubleshooting ML models in production.
- Experience in leading a team, client interaction and reporting.
- Strong hands on experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit learn, etc.).Strong hands on experience with Databricks for building, deploying, and managing machine learning workflows.
- Hands on with MLOps tools and cloud platforms
- Understanding of CI/CD for ML workflows.
- Proven problem solving skills, especially in diagnosing and resolving issues in large scale, distributed ML systems. Strong understanding of data engineering concepts, pipeline orchestration, and model versioning.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
