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Responsibilities:
- Build and maintain ML production pipelines.
- Design and optimize workflow systems.
- Ensure scalability for compute and storages.
- Implement techniques for unstructured data.
- Contribute to usability-focused product strategy.
Requirements:
- 3+ years as a backend engineer.
- Proficiency in Python programming.
- Experience with Kubernetes, Dask, PostgreSQL.
- Familiarity with ML tools like MLFlow, Sematic.
- Understanding of ML models and embeddings.
- Problem-solving skills in startup environments.
- Strong teamwork and communication abilities.
Benefits:
- Salary range: $170,000 – $200,000.
- Equal employment opportunity policy.
