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nlp docker aws python mlops📋 Description
- Design and build enterprise AI/ML systems end-to-end from data to deployment.
- Develop an experimentation roadmap and reproducible pipelines.
- Monitor production ML models to ensure optimal performance.
- Write production-grade Python code and reusable data-processing modules.
- Leverage AWS ML services (SageMaker, EMR, S3, Lambda, ECR).
- Lead technical delivery and mentor junior engineers.
🎯 Requirements
- 5+ years hands-on ML engineering experience.
- Bachelor's degree in CS/Mathematics or related field; Master's preferred.
- Production ML with LLMs, RAG, and agentic systems; NLP tasks.
- AWS cloud experience (SageMaker, ECR, EMR, S3, Lambda).
- Strong MLOps and production ML delivery.
- Solid software engineering: Python, Docker; modular code.
🎁 Benefits
- Opportunity to lead the technical implementation of cutting-edge AI solutions.
- Clear path to the Solution Architect role.
- Exposure to diverse technical challenges across industries.
- Professional development and certification support.
- Flexible, remote-first workplace.
- Comprehensive benefits including health, dental, vision, 401(k) with match, and unlimited PTO.
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