Related skills
python tensorflow pytorch airflow mlflow📋 Description
- Lead and mentor ML engineers; provide technical direction
- Own end-to-end ML projects from framing to production
- Analyze large datasets to translate into insights
- Design ML architectures, data pipelines and MLOps workflows
- Deploy models to production and monitor with CI/CD
- Collaborate with cross-functional stakeholders
🎯 Requirements
- BSc in CS/DS/Stats; Master's a plus
- 5+ years ML/DS; 1-2 years in technical leadership
- Python and SQL/NoSQL (Cassandra, MongoDB)
- Cloud/MLOps: AWS SageMaker; MLflow or Kubeflow
- Big Data: Elasticsearch, Spark, Airflow
- Model deployment, MLOps, CI/CD, monitoring; strong leadership; English: Upper intermediate
🎁 Benefits
- Flexible hours and remote-first mode
- Competitive compensation
- Complete hardware/software setup for work
- Open-door culture and transparent communication
- Health insurance, vacation, sick leave, holidays, parental leave
- Access to learning and development center (workshops)
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