Principal Machine Learning Engineer - ZMS (all genders)
Tasks
- Architect ML solutions for low latency high volume
- Build feature engineering pipelines
- Collaborate with product and stakeholders to deliver features
- Create MLOps best practices
- Deploy and maintain ML models
- Identify new opportunities with business stakeholders
- Mentor engineers
- Monitor and alert model performance
- Operationalize ML solutions
- Optimize model performance latency memory
- Orchestrate machine learning workflows
- Provide technical guidance
- Tech lead for real time recommendation engine
Perks/Benefits
- Discounts on products
- Employee shares program
- Family support services
- Hybrid working
- Mental health support
- Paid volunteering days
- Peer-to-peer review
- Relocation assistance
- Remote work
- Training platform
- Wellbeing options
Skills/Tech-stack
Alerting | Cloud Computing | Continuous Monitoring | Data Ingestion | Data Transformation | Data version control | Feature Engineering | Feature Stores | Flink | Go | Java | MLOps | MLaaS | Machine Learning | Model Serving | PySpark | PyTorch | Python | Scala | TensorFlow | Version control | Workflow Orchestration
Education
N/A
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