Senior ML Engineer (LLMs, AWS)
Tasks
- Build machine learning models
- Create classification models
- Create regression models
- Deploy and monitor ML models in production
- Develop LLM applications
- Develop agentic systems
- Develop experimentation roadmap
- Document ML models and pipelines
- Implement RAG architecture
- Maintain experimentation pipelines
- Perform feature engineering
- Propose ML 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 | Deep learning | Docker | Feature Engineering | Great Expectations | Language Models | Large Language Models | Machine Learning | Machine Learning Pipelines | NLP | Ontologies | Python | Regression | Retrieval-Augmented Generation | Spark | Taxonomies
Education
N/A
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