Senior Machine Learning Operations Engineer
Tasks
- Automate ML model deployment
- Automate ML model retraining
- Build CI/CD pipelines for machine learning
- Collaborate with data scientists and software engineers
- Detect and mitigate model drift
- Develop and support REST APIs
- Document ML systems and architectures
- Evaluate and recommend AI ML solutions
- Implement model versioning lineage and auditing
- Incorporate user feedback for model improvements
- Maintain MLOps infrastructure
- Monitor production model performance
- Provision and manage cloud infrastructure with IaC
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Amazon SageMaker | Azure | CI/CD | Continuous Training | Data Lineage | Docker | GCP | Generative AI | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Langchain | MLOps | Machine Learning | Model Drift | Model versioning | Monitoring | PyTorch | Python | REST APIs | Scala | Scikit-learn | TensorFlow | “as-code”
Education
N/A
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