Senior Machine Learning Engineer
Tasks
- Apply ML algorithms to structured and unstructured data
- Automate model training testing deployment monitoring
- Build feature engineering pipelines
- Collaborate to integrate models into production
- Convert data science prototypes into production solutions
- Design MLOps pipelines
- Document ML pipelines
- Ensure ML workflow reliability performance compliance
- Evaluate model performance and run experiments
- Implement CI/CD workflows
- Lead client ML solution delivery
- Translate business goals into ML strategies
Perks/Benefits
Skills/Tech-stack
ARM Templates | Apache Spark | Azure ARM | Azure ARM templates | Azure Data | Azure Data Lake | Azure DevOps | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | CI/CD | Data Lake | Databricks | Delta Lake | GitHub Actions | Infrastructure as Code | Jenkins | Kubernetes Service | MLOps | MLflow | Machine Learning | PyTorch | Python | Scikit-learn | TensorFlow | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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