Related skills
python machine learning ci/cd kafka spark📋 Description
- Implement robust infrastructure to deploy, monitor, and manage ML models in production
- Build automated ML pipelines with feature engineering, deployment, and evaluation
- Collaborate with data scientists and engineers to operationalize models
- Develop CI/CD pipelines for reproducible model release workflows
- Establish monitoring, logging, and alerting to ensure model health
- Document architecture standards and processes for cross-team sharing
🎯 Requirements
- 3+ years in MLOps, Data Engineering, or infra roles
- Proficiency in Python
- Experience deploying and monitoring ML models in distributed environments
- Knowledge of workflow orchestration (Airflow)
- Knowledge of distributed data tools (Kafka, Spark)
- Experience implementing automated CI/CD; Bachelor's degree in CS/Engineering/Math or equivalent
🎁 Benefits
- Remote environment: fully distributed, work from home
- Self managed PTO; take time off when needed
- Flexible work hours
- Innovative culture that values big ideas
- MacBook or PC provided; $500 setup allowance
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