Senior Machine Learning Engineer
Tasks
- Architect AWS cloud solutions
- Build CI/CD pipelines
- Design AI ML solutions for batch and streaming pipelines
- Develop and manage ML monitoring and observability
- Develop, train, and deploy machine learning models
- Implement MLOps best practices
- Manage infrastructure as code
- Optimize and refactor systems for performance and reliability
- Perform feature engineering and model optimization
- Run AI ML lifecycle from data preparation to deployment and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | AWS Lambda | Amazon CloudWatch | Amazon ECR | Amazon ECS | Amazon MSK | Amazon SNS | Amazon SQS | Apache Airflow | Apache Kafka | Arize AI | CI/CD | Command Line | Flyte | GitHub Actions | Infrastructure as Code | Java | Jenkins | Kubeflow | Kubernetes | LLMs | Luigi | MLOps | NLP | Prefect | Python | RAG | Scala | Shell Scripting | Streaming | Terraform | Weights and Biases | “as-code”
Education
Regions
Countries
States
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