Senior AI-ML Engineer
Tasks
- Apply ML techniques and big data processing to improve performance
- Architect high performing AI systems
- Collaborate with cross-functional teams for AI/ML integration
- Design develop and deploy scalable AI ML solutions on cloud
- Develop metrics for evaluating AI solutions
- Develop predictive models and advanced algorithms
- Generate test and analyze hypotheses from experiments
- Implement and manage AI pipelines and tools
- Integrate AI/ML models with enterprise systems
- Translate concepts and prototypes into products services and features
Perks/Benefits
- Continuing education
- Flexible time off
- Health care
- Learning and development
- Retirement benefits
- Wellness
Skills/Tech-stack
AI Pipelines | AWS SageMaker | Azure Machine Learning | Big Data | Big data processing | CI/CD | Computer Vision | Data Processing | Docker | Google Vertex | Google Vertex AI | Kubernetes | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Predictive Analytics | Python | R | Responsible AI | Vertex AI
Education
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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