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docker aws python kubernetes mlops📋 Description
- Design, build, and maintain scalable ML infrastructure on AWS.
- Collaborate with Product Teams to MVP AI-driven features.
- Develop monitoring and alerting frameworks for ML models.
- Enable AI across departments, including Generative AI.
- Provide production support and on-call incident handling.
- Scale ML architecture using AWS and best practices.
🎯 Requirements
- Bachelor's degree in CS/ML or equivalent experience.
- 6+ years ML engineering with production deployments.
- Python proficiency; Golang a plus.
- Experience with Claude or other LLM tools.
- Strong AWS cloud experience with ML infra (SageMaker).
- Kubernetes, Docker, and CI/CD for ML.
🎁 Benefits
- Remote-friendly culture.
- Competitive compensation.
- Growth and mentorship opportunities.
- Collaborative, innovative team.
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