Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)
Tasks
- Automate tests and deployment
- Build AI powered products and components
- Build data pipelines for machine learning
- Collaborate with product and data science teams
- Deploy machine learning applications on cloud
- Design machine learning architectures
- Develop agentic AI solutions
- Develop and review model and application code
- Ensure responsible AI and explainable AI compliance
- Implement similarity search
- Lead machine learning engineering teams
- Manage code quality and security
- Monitor models in production
- Perform model experimentation
- Retrain and maintain production models
- Run large language model inference
- Train and tune machine learning models
- Validate machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Agentic AI | Azure | Bias Variance | Bias-Variance Tradeoff | Cloud Computing | Continuous Deployment | Continuous integration | Data Pipelines | Deep learning | Dimensionality Reduction | Distributed Computing | Google Cloud | Hyperparameter Tuning | Java | LLM Inference | Machine Learning | Model Monitoring | Model Training | Model Validation | Python | Retrieval-Augmented Generation | Scala | Similarity Search | Test automation
Education
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