Machine Learning Engineer II
Tasks
- Automate processes using proprietary tools
- Build machine learning and deep learning models
- Clean data and source new data
- Collaborate cross-functionally
- Design deploy fine tune and evaluate large language models
- Develop prompting strategies
- Develop refine and scale data driven procedures and workflows
- Ensure data confidentiality and integrity
- Perform ad hoc projects
- Translate business problems into scalable AI solutions
Perks/Benefits
- 401k
- Career advancement
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Maternity/paternity pay
- Paid Holidays
- Paid vacation
- Vision insurance
Skills/Tech-stack
AWS | Apache Spark | Azure | Business Intelligence | Data Warehousing | Deep learning | ETL | GCP | Hadoop | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Pandas | Prompt engineering | PyTorch | Python | SQL | Scikit-learn | Tableau
Education
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