FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

ML Platform Engineer
ParamountSenior Data Scientist / Machine Learning Engineer at Paramount deploying MLOps products. Collaborating with Data Science team and stakeholders to optimize content and enhance user experience.
Posted 6/18/2026full-timeBurbank • 🇺🇸 United StatesMid-LevelSenior💰 $130,200 - $195,300 per yearWebsite
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Design and implement our greenfield ML platform 10Xing the Data Science team’s impact
- Work closely with Data Scientists to understand their development needs
- Work closely with Stakeholders to understand the business problems driving model deployments and how models can augment their workflows
- Assess and integrate cutting-edge software and practices in Data Science and MLOps.
- Refactor disjointed data science scripts and workflows into modular 'skills'
Requirements
What you’ll need- 3+ years experience in Data Science and ML Engineering.
- Deep experience developing as a team in Python
- Deep experience designing and implementing MLOps platforms in a cloud environment
- Deep experience implementing CI/CD workflows that manage model deployments
- Experience developing containerized applications
- Ability to innovate without over-engineering
- Familiarity with well-known statistical and ML models and methods
- Strong detail orientation with a penchant for deployment reliability
- Must successfully pass a background check
Benefits
Comp & perks- medical
- dental
- vision
- 401(k) plan
- life insurance coverage
- disability benefits
- tuition assistance program
- PTO
- bonus eligible
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonMLOpsCI/CDData ScienceMachine LearningContainerizationStatistical ModelsML ModelsCloud EnvironmentModular Workflows
Soft Skills
Detail OrientationInnovationCollaborationProblem SolvingCommunication