IA Machine Learning - Senior
Tasks
- Build RAG solutions with embeddings
- Build batch and streaming data pipelines
- Conduct code reviews
- Define LLMOps practices
- Deploy and govern MLOps frameworks
- Design distributed model training
- Design machine learning architectures at scale
- Design model evaluation strategies
- Ensure model traceability versioning monitoring
- Implement LLM architectures at scale
- Implement model security and governance controls
- Implement prompt version control
- Optimize prompts and inference costs
- Provide ML services via APIs
- Run large scale A B testing
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | AWS Glue | Airflow | Amazon Athena | Apache Spark | CI/CD | CloudFormation | CloudWatch | Continuous Deployment | Continuous integration | Data Streaming | Distributed Training | Embeddings | FastAPI | Infrastructure as Code | Kafka | Kinesis | Kubeflow | LLMOps | Langchain | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Governance | Model Monitoring | Prefect | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Step Functions | TensorFlow | Terraform | “as-code”
Education
N/A
Regions
Countries
States
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