ML Engineer
Tasks
- Build analytical pipelines at scale
- Collaborate with Product Owners and Modelers
- Create continuous improvement of tools and methods
- Develop marketing science solutions
- Implement cloud-based distributed systems
- Improve efficiency of marketing science products
- Optimize marketing science models
- Standardize Marketing Science solutions
- Transform proofs-of-concepts into production-ready code
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Azure | Causal Inference | Cloud Computing | Code optimization | Containerization | Distributed Systems | Docker | Git | High Performance | High-Performance Computing | Kubernetes | Parallel Computing | Performance Computing | Performance optimization | Python | R | Real Time | Real-time Processing | Statistical modeling | Time processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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