DS/ML Engineer
Veeva Systems
full-time
Posted on:
Location Type: Remote
Location: United Kingdom
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Tech Stack
About the role
- This role is critical in making ML and AI services to power engaging user experiences
- Working from end-to-end on live production services. Not just modeling, not theoretical
- The work you do will directly impact our customers' day-to-day experiences
- Define the best approach to solve problems with ML. Build data and model pipelines
- Test and Validate services. Deploy and monitor solutions for impact
- Work within a cross-functional application team to build scalable language services in the range of NLP, NLU, and NLG for live SaaS products
- Help develop and groom an experiment backlog
- Build models that solve real-world problems
- Optimize models for production throughput and uptime requirements
- Automate deployments, testing, and monitoring (MLOps)
Requirements
- 5+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services
- Expert in Machine Learning, Modeling, and development with Python
- Expert in MLOps with at least one platform, e.g.: MLflow, Kubeflow, or end-to-end automation with SageMaker services
- Ability to mentor others and work independently
- Strong communication skills
Benefits
- Work Anywhere means you can work in an office or at home on any given day.
- Empowered Autonomy: Tech decisions are made within teams, giving engineers significant autonomy.
- Collaborate with highly skilled teammates who take pride in achieving great outcomes. Excellence matters.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningModelingPythonMLOpsData PipelinesModel PipelinesTestingValidationOptimizationAutomation
Soft Skills
MentoringIndependent WorkCommunication