Job Description
One of my client is looking for ML Engineer/Data Scientist Hybrid in Toronto, ON. Below are the details.
Role- ML Engineer
Location- Toronto, ON(Hybrid)
Duration- 6+ Months
Job Description:
Role Descriptions:
Design and implement ML pipelines using AWS SageMaker| including data preprocessing| model training| tuning| and deployment. Develop and integrate Generative AI applications using AWS Bedrock and foundation models (e.g.| Titan| Claude| Llama).Build APIs and microservices to expose ML models for consumption by applications.Optimize ML workflows for cost efficiency and scalability in AWS environments. Collaborate with data scientists and business stakeholders to translate requirements into technical solutions.Implement security best practices for ML models and data in AWS.Monitor and maintain deployed models| ensuring performance and reliability.Hands-on experience with AWS SageMaker (training| inference| pipelines| model registry).Strong knowledge of AWS Bedrock a...
Role- ML Engineer
Location- Toronto, ON(Hybrid)
Duration- 6+ Months
Job Description:
Role Descriptions:
Design and implement ML pipelines using AWS SageMaker| including data preprocessing| model training| tuning| and deployment. Develop and integrate Generative AI applications using AWS Bedrock and foundation models (e.g.| Titan| Claude| Llama).Build APIs and microservices to expose ML models for consumption by applications.Optimize ML workflows for cost efficiency and scalability in AWS environments. Collaborate with data scientists and business stakeholders to translate requirements into technical solutions.Implement security best practices for ML models and data in AWS.Monitor and maintain deployed models| ensuring performance and reliability.Hands-on experience with AWS SageMaker (training| inference| pipelines| model registry).Strong knowledge of AWS Bedrock a...
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