Experience and Skills
- Experience in API development and integrating ML models with backend systems.
- Deep understanding of CI/CD pipelines for ML, including tools like GitLab CI/CD, MLflow, Docker, and ECS.
- Exposure to ECS, Kubernetes, Terraform, and Infrastructure as Code (IaC).
- Strong knowledge of cloud security and Identity and Access Management (IAM).
- Knowledge of vector databases and retrieval-augmented generation (RAG).
- Data pipeline development experience using Airflow, Spark, or similar tools.
- Experience with AWS Lambda and DynamoDB Streams.
Why you’ll love working at WorkBuzz
– Our culture is fast-paced and dynamic…
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