AI / ML Engineer II
Tasks
- Benchmark models and assess feasibility and scalability
- Build prototypes and proof of concepts
- Collaborate with engineering and product stakeholders
- Develop data pipelines and model evaluation workflows
- Monitor model performance and ensure deployment readiness
- Prepare technical documentation and research summaries
- Recommend AI architecture for production integration
- Support research and evaluation of AI techniques
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Apache Spark | Azure | Benchmarking | CI/CD | Cloud platform | Data Pipelines | Data Quality | Databricks | Docker | Drift Detection | Explainability | Generative AI | Google Cloud | Google Cloud Platform | Jupyter | Kubernetes | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Python | Responsible AI | SQL | Series analysis | Time Series | Time Series Analysis | Transformer
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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