Senior AI/ML Engineer
Tasks
- Architect ML systems
- Build Model Context Protocol servers
- Build serverless data pipelines
- Design AI agents and automated workflows
- Design REST APIs and model serving
- Establish MLOps practices and CI CD pipelines
- Implement ML workflows for performance scalability and cost
- Integrate external data sources
- Maintain analytics data ingestion transformation and querying
- Mentor engineers and conduct code reviews
- Optimize model performance
- Train and evaluate machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS IAM | AWS Lambda | AWS Secrets | AWS Secrets Manager | AWS Step Functions | AWS Systems Manager | AWS systems | Amazon Athena | Amazon EventBridge | Amazon S3 | Amazon SES | Amazon SNS | CI/CD | CloudWatch | Docker | Git | Language Models | Large Language Models | MLOps | Machine Learning | Model Context Protocol | Model Serving | PyTorch | Python | REST API | Scikit-learn | Secrets Manager | Step Functions | Systems Manager | TensorFlow
Education
N/A
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