Related skills
sql python google cloud ci/cd flask📋 Description
- Translating requirements: interpret vague needs and build models.
- Data Science: run ML experiments with ML libraries.
- GenAI: leverage generative AI to develop innovative solutions.
- Optimisation: optimise ML solutions for performance and scalability.
- Data Engineering: ensure efficient data flow between databases and backends.
- MLOps: automate workflows and design Google Cloud architectures.
🎯 Requirements
- Experience: multiple years as ML engineer; consulting background preferred.
- Python: production-ready code in CI/CD pipelines.
- Cloud: Google Cloud, AWS, or Azure.
- Software Engineering: practical software engineering practices.
- SQL: querying and managing data.
- Scalability: GPUs or distributed computing experience.
- ML Integration: expose ML components via web services (Flask).
- Soft Skills: strong communication and presentation.
🎁 Benefits
- Holiday: 30 days plus bank holidays.
- Health Perks: 4500 kr/year healthcare allowance (paid monthly).
- Wellbeing: up to 5000 kr/year wellness allowance.
- Hybrid Model: 1200 kr WFH equipment allowance (after probation).
- Learning & Growth: access to Udemy.
- Pension: Private Salary Sacrifice Pension available.
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