Related skills
sql python google cloud ci/cd flask📋 Description
- Translate requirements and scope ML projects.
- Build ML models and production-grade Python code.
- Lead client discussions and project delivery.
- Apply ML/DS fundamentals for diverse use cases.
- Optimize ML solutions for performance and scale.
- Design ML architectures on Google Cloud.
🎯 Requirements
- 1-3 years as ML Engineer; consulting background preferred.
- Python backend; production-ready code in CI/CD.
- Cloud platforms: Google Cloud, AWS, or Azure.
- SQL proficiency for querying and data management.
- GPUs or distributed computing for scalability.
- ML integration: expose components via Flask.
🎁 Benefits
- Holiday: 25 days + bank holidays.
- Health: private health insurance (Vitality).
- Fitness: gym discounts (Nuffield Health, Virgin Active).
- Hybrid: WFH allowance.
- Learning: Udemy access.
- Pension: auto-enrolment with employer contributions.
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