Software Engineer II - Machine Learning (B3617)
CAD 81K-115K Mid-level Full Time
Tasks
- Architect scalable machine learning and generative AI systems
- Build CI CD pipelines for model deployment validation monitoring and retraining
- Build batch and real time model inference pipelines
- Build ground truth and model monitoring pipelines
- Collaborate with teams to gather requirements and implement production AI ML solutions
- Develop and deploy production generative AI systems
- Develop or integrate model serving framework
- Monitor production model performance and system performance
- Perform data analysis data preprocessing and feature engineering
- Perform end-to-end integration testing
- Provide technical leadership for automation reliability scalability and security
- Stay current with AI and ML advancements
Perks/Benefits
Skills/Tech-stack
AIOps | AWS | Azure | Azure Data | Azure Data Factory | Azure Machine Learning | CI/CD | Data Factory | Data Preprocessing | Databricks | Deep learning | Docker | Feature Engineering | Fine Tuning | Java | Kubernetes | LLM Fine-tuning | LLM serving | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | PySpark | PyTorch | Python | RAG | Scala
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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