Senior Machine Learning Engineer, Rider Applied AI
Tasks
- Architect scalable machine learning pipelines
- Design build train deploy machine learning models for real time applications
- Evaluate machine learning solutions and iterate with data insights
- Explore new algorithms technologies and frameworks for business problems
- Integrate machine learning pipelines with backend systems
- Participate in code reviews for code quality and knowledge sharing
- Provide technical leadership and mentor engineers
- Write production level code for machine learning pipelines
Perks/Benefits
- Child care benefits
- Commuter benefits
- Dental insurance
- Disability benefits
- Family building benefits
- Health insurance
- Health savings account
- Life insurance
- Mental health benefits
- Paid parental leave
- Paid time off
- Pet benefits
- RRSP match
- Ride credits
Skills/Tech-stack
AWS | Apache Spark | Cloud platform | Deep learning | Docker | Google Cloud | Google Cloud Platform | Hadoop | Keras | Kubernetes | LLM | Machine Learning | Model Training | Optimization | PyTorch | Reinforcement Learning | Scikit-learn | Supervised Learning | TensorFlow | Unsupervised Learning
Education
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