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aws python kubernetes tensorflow pytorch📋 Description
- Lead the architecture and development of AI/ML systems in production data platforms.
- Design and implement scalable ML pipelines: training, inference, evaluation in distributed envs.
- Drive adoption of modern AI approaches including LLMs, RAG, and agentic workflows.
- Design, train, and deploy domain-specific SLMs for edge and secure envs.
- Partner with Data Engineers and DevSecOps to operationalize models in Kubernetes and CI/CD.
- Translate mission needs into technical solutions with customers and stakeholders.
🎯 Requirements
- Advanced degree (MS/PhD) in CS, AI, or related STEM field
- 8+ years in AI/ML engineering or related field
- Proficiency in Python and ML frameworks: PyTorch, TensorFlow, Scikit-learn
- Experience building and deploying ML models in production; pipelines, monitoring
- Strong software engineering fundamentals: APIs, microservices, testing, version control; Kubernetes and AWS
- Ability to lead initiatives and collaborate across teams; mentor others
🎁 Benefits
- Highly competitive salary
- Fully covered healthcare, dental, and vision coverage
- 401(k) and company match
- Take as you need PTO + 11 paid holidays
- Education & training benefits
- Generous Referral Bonuses
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