Senior ML Engineer
Tasks
- Build and scale data pipelines
- Collaborate with data scientists and product teams
- Design scalable ML models
- Develop tools for ML platform
- Drive innovation in ML training and deployment
- Establish best practices for ML development
- Maintain high-throughput data pipelines
- Optimize ML training and deployment
Perks/Benefits
- Health insurance
- Internal mobility
- Lab days
- Leadership programs
- Learning resources
- Mentoring
- Paid vacation
- Pension
- Vibrant office culture
- Wellness contributions
Skills/Tech-stack
AWS | Airflow | Automl | Azure | BigQuery | Cloud Computing | Flink | GCP | GenAI | Go | Hadoop | Kafka | Microservices | ONNX | PyTorch | Python | Scala | Spark | Spark Streaming | TensorFlow
Education
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