Senior AI Engineer
Tasks
- Architect NLP pipelines
- Automate ML and NLP experiments
- Build and maintain NLP workflows
- Collaborate with data engineers and data scientists
- Deploy and manage LLMs in cloud environments
- Develop predictive analytics and ML applications
- Ensure model governance and compliance
- Fine tune and consume large language models
- Implement Retrieval-Augmented Generation architectures
- Implement reinforcement learning from human feedback
- Monitor and optimize model deployment
- Perform prompt engineering
- Set up MLOps for LLMs
- Work in agile product team using Kanban
Perks/Benefits
- Employee assistance program
- Flexible work
- Free Apps Access
- Free Economist subscription
- Free Podcasts Access
- Generous annual leave
- Moving Home Leave
- Parental leave
- Private health insurance
- Volunteering leave
- Work from anywhere
Skills/Tech-stack
API Gateway | API Integration | AWS CloudFormation | AWS Lambda | Amazon ECR | Amazon SageMaker | Amazon SageMaker Studio | Apache Airflow | Generative AI | Hugging Face | Human Feedback | Jupyter | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | MLOps | MLflow | Natural Language | Natural Language Processing | Prompt engineering | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Sagemaker Studio | Serverless
Education
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