Related skills
docker terraform aws python kubernetes📋 Description
- Lead design, deployment, and monitoring of ML models in production.
- Build automated end-to-end data pipelines (ingestion to deployment).
- Collaborate with data scientists to optimize model performance.
- Establish CI/CD pipelines for reproducible deployments.
- Implement monitoring and alerts for model health and performance.
- Optimize architecture for scalability, reliability, and cost.
🎯 Requirements
- Bachelor's or Master's in CS/Engineering/Math or related field.
- 6+ years in MLOps, data engineering, or DevOps.
- Proficiency in Python (and Java/Scala/Ruby; Python preferred).
- Experience with LLMs and LangChain is a plus.
- Experience with AWS/Azure/GCP and cloud services.
- Strong Docker and Kubernetes understanding.
- IaC tools such as Terraform or Terragrunt.
🎁 Benefits
- Remote environment
- Self-Managed PTO
- Flexible work hours
- Work in your own time zone
- Newest MacBook + setup allowance ($500)
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