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redshift aws etl postgresql python📋 Description
- Build and extend core services for model training, evaluation, and large-scale inference.
- Develop and maintain data pipelines and ETL workflows for large datasets.
- Optimize and scale GPU workloads; boost resource use, performance, and cost efficiency.
- Collaborate with scientists, engineers, and PMs to define requirements and drive improvements.
🎯 Requirements
- 2+ years of experience in software or ML engineering, building apps, infra, or data systems for ML workloads.
- Strong proficiency in Python and software design principles.
- Experience using AI-assisted development tools (e.g., code copilots, LLM-based workflows) to boost engineering productivity.
- Familiarity with data pipelines, ETL processes, and relational DBs such as PostgreSQL or Redshift.
- Experience with distributed systems and containerized deployments on AWS using ECS or Kubernetes.
- Familiarity with CI/CD, observability, and infrastructure as code tools.
🎁 Benefits
- Annual bonus, equity compensation, and a competitive benefits package.
- Opportunity to work on a cutting-edge ML platform for protein design.
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