Related skills
golang docker sql python kubernetes📋 Description
- Lead design, development, and deployment of ML models.
- Build scalable ML solutions for recommendations, fraud, and credit risk.
- Drive MLOps to automate the full ML lifecycle.
- Collaborate with engineers and data scientists on large-scale solutions.
- Scale ML architecture on AWS and modern tools.
- Provide production support and on-call incident handling.
🎯 Requirements
- Bachelor's degree or equivalent in CS/ML.
- 6+ years ML engineering with production deployments.
- Strong Python, SQL, AWS, Kubernetes, and Docker skills.
🎁 Benefits
- Remote-friendly, full-time role.
- Culture focused on high standards.
- Opportunities for career growth.
- Work with cutting-edge AI and AWS tech.
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