Description de la mission
We're looking for a Senior AWS Machine Learning / AI Engineer to design, build, and deploy scalable Machine Learning and Generative AI solutions on AWS.
Vos missions
- - Design and deploy end-to-end ML pipelines using Amazon SageMaker.
- - Develop Generative AI applications with Amazon Bedrock (RAG, Agents, Knowledge Bases, Guardrails).
- - Implement MLOps best practices, including CI/CD, model monitoring, drift detection, and automated retraining.
- - Build data pipelines using AWS Glue, EMR, Athena, S3, Lambda, Step Functions, and EventBridge.
- - Optimize performance, scalability, security, and cost of ML solutions.
- - Collaborate with cross-functional teams to deliver AI-driven business solutions.
- - Mentor engineers and promote AWS AI/ML best practices.
Profil recherché
- - 6+ years of experience in Data Science / Machine Learning Engineering.
- - 4+ years of hands-on AWS ML/AI experience.
- - Strong expertise in Amazon SageMaker and Amazon Bedrock.
- - Proficiency in Python, PyTorch, TensorFlow, and Hugging Face.
- - Solid experience with AWS data services and MLOps.
- - Experience deploying ML models into production.
