Senior ML Engineer (LLMs, AWS)
Tasks
- Build machine learning models from scratch
- Build reproducible experimentation environments
- Collaborate with engineering, data science, and product teams
- Create ML experimentation roadmap
- Deploy large language models in production
- Develop agentic systems
- Document ML models processes and pipelines
- Implement retrieval-augmented generation
- Improve existing models
- Maintain ML experimentation pipelines
- Maintain model performance
- Monitor ML models in production
- Propose innovative ML and AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Lambda | Agentic Systems | Amazon Bedrock | Amazon ECR | Amazon EMR | Amazon S3 | Amazon SageMaker | Classification | Dask | Deep learning | Docker | Feature Engineering | Great Expectations | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Learning Pipelines | Natural Language | Natural Language Processing | Ontologies | Python | Recommendation Engines | Regression | Retrieval-Augmented Generation | Spark | Taxonomies
Education
N/A
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