Senior Manager, Machine Learning
Tasks
- Align stakeholders across product engineering and business
- Build and optimize ML engineering infrastructure
- Contribute to architecture experimentation and model development
- Define KPIs and success metrics
- Define and execute ML roadmaps
- Design build and deploy production ML systems
- Guide experimentation and delivery of AI solutions
- Lead end to end machine learning platform development
- Manage project delivery timelines dependencies and risks
- Recruit mentor and develop ML engineers
Perks/Benefits
- Career growth
- Health insurance
- Inclusive collaborative work culture
- Leadership development
- Learning opportunities
- Paid time off
- Parental leave
- Remote-first work flexibility
- Wellness support
Skills/Tech-stack
AWS | Azure | Cloud Computing | Conversational AI | Data Systems | Embeddings | GCP | LLM orchestration | LLMOps | Language Models | Language Processing | Large Language Models | Large Scale Data | Large scale data systems | Large-scale | MLOps | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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