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azure docker aws python kubernetes📋 Description
- Design, develop, and deploy production ML models.
- Leverage Python, Spark, and ML frameworks for data science.
- Deploy ML models to the cloud and optimize performance.
- Containerize models with Docker and Kubernetes for scalability.
- Collaborate with data scientists, engineers, and product teams.
- Stay up-to-date on MLOps trends and best practices.
🎯 Requirements
- Bachelor's/Master's in CS, Stats, Math, or related field.
- Proficient in Python and PySpark for ML.
- Experience with Kubernetes, Docker, and CI/CD.
- Cloud deployment experience (AWS, GCP, Azure).
- Knowledge of ML algorithms and concepts.
- Excellent communication and teamwork.
🎁 Benefits
- Comprehensive rewards package.
- Flexible working hours and birthday off.
- Investment in cutting-edge technology.
- Inclusive culture with diverse networks.
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