Senior ML Engineer (LLMs, AWS)
Tasks
- Collaborate on production model development
- Create experimentation roadmap
- Develop machine learning models
- Document machine learning models processes and pipelines
- Improve existing machine learning models
- Maintain experimentation pipelines
- Maintain machine learning model performance
- Monitor machine-learning models in production
- Propose machine learning and AI solutions
- 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 | Language Processing | Large Language Models | Machine Learning | Machine Learning Pipelines | Natural Language | Natural Language Processing | Python | Recommendation Engines | Regression | Retrieval-Augmented Generation | Spark
Education
N/A
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