Senior ML Engineer
Tasks
- Build machine learning pipelines
- Collaborate with data engineering and cloud teams
- Deploy machine learning models
- Design scalable ML solutions
- Develop MLOps architectures
- Ensure ML security and compliance
- Implement AI and ML projects
- Implement GenAI projects
- Mentor and share ML best practices
- Monitor machine learning models
- Perform feature engineering
Perks/Benefits
- Education assistance
- Employee referral program
- Flexible health and dental benefits
- Generous time off
- Health spending account
- Hybrid work environment
- Learning and development programs
- Parental leave top-up
- Recognition Rewards Platform
- Wellness spending account
Skills/Tech-stack
AWS | AWS Cloud | AWS Cloud Development Kit | AWS Step Functions | AWS cloud development | Apache Spark | Azure Data | Azure Data Factory | Azure Functions | Azure Machine Learning | CI/CD | Cloud Development Kit | CloudFormation | Data Factory | Docker | GDPR | HIPAA | Hyperparameter Tuning | Infrastructure as Code | Kubeflow | Kubernetes | LLM | Langchain | MLflow | Machine Learning | NumPy | Prompt engineering | PyTorch | Python | R | SQL | SageMaker | SciPy | Scikit-learn | Step Functions | TensorFlow | Terraform | Vector Databases | “as-code”
Education
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