Related skills
azure aws sql python gcp📋 Description
- Translate business challenges into ML opportunities.
- Prototype, train, and deploy end-to-end ML.
- Build scalable ML systems with reliable performance.
- Build data pipelines & MLOps workflows.
- Deploy ML solutions on AWS, GCP, or Azure.
- Write clean Python code with CI/CD practices.
🎯 Requirements
- 1–3 years in AI/ML or software engineering.
- Strong Python skills for backend development.
- Experience with cloud platforms (GCP, AWS, or Azure).
- Hands-on software engineering experience.
- Solid understanding of SQL.
- Familiarity with ML deployment & web service integration (e.g., FastAPI).
🎁 Benefits
- 25+ days vacation.
- Supplementary health insurance.
- 50% covered MultiSport membership.
- Hybrid working model for flexibility and balance.
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