AI Engineer II
Tasks
- Build and deploy AI/ML solutions
- Build production ML pipelines
- Collaborate with Data Product and Systems teams
- Deploy ML workloads on cloud platforms
- Design and productionize AI systems with vector databases
- Develop feature engineering and statistical modeling
- Maintain quality and deliver on time
- Research and prototype machine learning systems
- Train evaluate and deploy LLM models in production
- Use Docker and Kubernetes for containerized deployments
Perks/Benefits
Skills/Tech-stack
API Development | Backend Development | Cloud Computing | Databricks | Docker | Feature Engineering | Kubernetes | LLM | Language Models | Large Language Models | Machine Learning | Model Deployment | Model Evaluation | Productionization | Statistical modeling | Vector Databases
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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