Added
6 hours ago
Location
Type
Full time
Salary
Upgrade to Premium to se...
Related skills
terraform aws python kubernetes tensorflowπ Description
- Lead with technical depth β own end-to-end lifecycle from requirements to release.
- Own Partner integration AI/ML layer β architect real-time ML for DFM AI + IQE with Teamcenter.
- Build for scale β develop cloud-based systems powering real-time ML endpoints and MLOps.
- Solve ambiguous problems β navigate cross-domain challenges and deliver solutions meeting goals.
- Set the Standard β own multi-quarter roadmaps and new processes to achieve key objectives.
- Champion quality and security β automated testing, parallel and distributed computing, secure ML software.
π― Requirements
- Bachelorβs in STEM plus 6β8 years delivering production ML systems.
- Deep ML/AI expertise incl gradient boosting, deep learning, or generative AI.
- Hands-on experience deploying real-time ML at scale in the cloud (AWS preferred).
- Strong Python and ML frameworks like TensorFlow, PyTorch.
- Solid CS fundamentals: data structures and algorithms.
- MLOps experience: monitoring, drift detection, automated retraining.
- CI/CD with GitHub Actions, TDD, and Terraform.
- Experience with transformers/LLMs or generative AI.
π Benefits
- 401(k) match, medical, dental, and vision insurance
- Life and disability insurance
- Generous PTO: vacation, sick leave, holidays
- Maternity and bonding leave, parental benefits
- EAP and wellbeing resources
- Competitive overall benefits
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest β finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!