Senior Data Engineer - AI Infrastructure Integration, High Performance Compute
Tasks
- Apply natural language processing and supervised unsupervised learning techniques
- Assess model design assumptions limitations performance explainability implementation risks
- Build reusable data pipelines models APIs feature workflows prompt libraries
- Communicate technical findings model outcomes operational impact risks tradeoffs
- Create production grade code documentation model artifacts validation evidence test automation
- Design develop test deploy AI ML solutions for infrastructure reliability
- Implement MLOps CI CD version control model serving workflow orchestration monitoring
- Operationalize model lifecycle use case intake data preparation training validation deployment monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
API | Agile | Anomaly Detection | Automation frameworks | CI/CD | Classification | Confluence | Dashboards | Data Preparation | Data Visualization | Data pipeline | Deep learning | Embeddings | Forecasting | Gensim | Hugging Face | Hugging Face Transformers | Jira | Kanban | Language Processing | MLOps | Machine Learning | Model Governance | Model Monitoring | Model Serving | Model Validation | NLP | Natural Language | Natural Language Processing | NumPy | Observability | Optimization | Pandas | PyTorch | Python | Relational databases | SQL | Scikit-learn | Spacy | TensorFlow | Test automation | Transformers | Version control | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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