Senior Machine Learning Engineer
Tasks
- Build and maintain infrastructure for training validation deployment and monitoring
- Design build optimize and maintain scalable ML and data pipelines
- Design data models write efficient queries and optimize performance
- Generate actionable insights recommendations and business signals from retail datasets
- Implement AI and LLM workflows for automation and decision support
- Lead technical design discussions code reviews and mentoring
- Package deploy and manage ML services with Docker and cloud infrastructure
- Productionize machine learning models as batch processes services APIs and data products
- Translate research and prototypes into scalable tested production code
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Apache Airflow | BigQuery | CI/CD | Cloud Run | Docker | GCP | Google Kubernetes | Google Kubernetes Engine | Kubernetes | Kubernetes Engine | Machine Learning | MySQL | Observability | Pandas | PostgreSQL | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Testing | Version control | Vertex AI
Education
N/A
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