Machine Learning Engineer
Tasks
- Build and iterate agentic AI systems
- Collaborate with data scientists and software engineers
- Design feature pipelines and model training workflows
- Develop and deploy machine learning models in production
- Evaluate model performance against business KPIs
- Identify ML opportunities and scope projects
- Implement model serving infrastructure
- Maintain code quality observability testing and documentation
- Run experiments for continuous model improvement
Perks/Benefits
- Child care benefits
- Dental insurance
- Disability insurance
- Family building benefits
- Flexible paid time off
- Health care savings account
- Health insurance
- Life insurance
- Lyft ride credits
- Mental health benefits
- Paid parental leave
- Pet benefits
- RRSP match
- Subsidized commuter benefits
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Cloud Computing | Deep learning | Experimentation | Feature Engineering | Fine Tuning | Graph Neural Networks | Knowledge graphs | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Model Serving | Model Training | Natural Language | Natural Language Processing | Network Analysis | Neural Networks | Prompt engineering | RAG | Retrieval-Augmented Generation
Education
N/A
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