Posted Updated 9
views
- Analyze and prepare customer datasets
- Build and evaluate Generative AI solutions
- Build and fine-tune machine learning models
- Collaborate with MLOps and engineering teams
- Collaborate with customers on technical discovery
- Deploy and validate production ML models
- Design production ready ML architectures
- Evaluate technical approaches for ML solutions
- Mentor less experienced data scientists and engineers
- Own data science projects end-to-end
- Use SageMaker for training and deployment
Perks/Benefits:
- Continuous learning
- Mentorship
- Remote work flexibility
- Sponsored AWS certifications
See also
Data Science jobs by country — openings, pay and top skills →