Senior ML Engineer (LLMs, AWS)
Tasks
- Build experimentation pipelines
- Build machine learning models
- Collaborate cross functional on production models
- Develop experimentation roadmap
- Document machine learning models processes and pipelines
- Improve existing machine learning models
- Maintain machine learning models in production
- Monitor machine-learning models in production
- Propose machine learning and AI improvements
- Set up reproducible experimentation environment
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS Lambda | Agentic Systems | Amazon ECR | Amazon EMR | Amazon S3 | Amazon SageMaker | Classification | Dask | Data Engineering | 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 | RAG | Regression | Spark | Taxonomies
Education
N/A
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