Machine Learning Engineer II
Tasks
- Automate deployment and monitor production system performance
- Build data pipelines and infrastructure for model training and deployment
- Collaborate with cross functional teams to identify machine learning opportunities
- Design, develop, and deploy scalable machine learning models
- Evaluate emerging machine learning and cloud technologies
- Optimize machine learning models for performance and scalability
Perks/Benefits
- 401k
- Dental insurance
- Floating Day Off
- Health insurance
- Life insurance
- Long-term disability
- Paid Holidays
- Paid sick leave
- Paid vacation
- Short-term disability
- Vision insurance
- Volunteer time off
Skills/Tech-stack
AWS | Apache Kafka | Azure | Cloud platform | Containerization | Data Pipelines | Data Streaming | Docker | Generative AI | Git | Google Cloud | Google Cloud Platform | Kubernetes | Language Models | Large Language Models | Machine Learning | Message queuing | Pulsar | Python | RabbitMQ | Real Time | Real-Time Data Streaming | Real-time Data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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