Senior Data Engineer - AI Infrastructure Integration, High Performance Compute
Tasks
- Assess model design assumptions limitations and implementation risks
- Build reusable data pipelines APIs and feature workflows
- Create production grade code documentation and validation evidence
- Design AI ML enabled capabilities for infrastructure reliability
- Develop AI ML models for forecasting observability and automation
- Implement MLOps CI CD version control model serving and workflow orchestration
- Integrate AI solutions across hybrid cloud and on premises environments
- Support end to end model lifecycle deployment monitoring and performance review
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Anomaly Detection | CI/CD | Classification | Confluence | Dashboards | Data Pipelines | Deep learning | Embeddings | Forecasting | Gensim | Hugging Face | Hugging Face Transformers | Jira | Kanban | Language Processing | Machine Learning | Model Serving | Monitoring | Natural Language | Natural Language Processing | NumPy | Observability | Optimization | Pandas | PyTorch | Python | Relational databases | SQL | Scikit-learn | Spacy | TensorFlow | Test automation | Version control | Workflow Orchestration
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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