AWS ML Engineer: SageMaker Pipelines & GenAI Apps

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; On-site; CAD 110,000 - 130,000; Full time

Job summary

A leading IT consulting firm in Toronto is seeking a Mid-Senior Level Professional to enhance their AI initiatives. The ideal candidate will design and implement machine learning pipelines using AWS SageMaker and develop Generative AI applications. Candidates should have 6-8 years of experience in IT, with strong knowledge of AWS services and ML frameworks. This full-time role offers a competitive salary between CA$110,000 and CA$130,000, coupled with opportunities to innovate within a dynamic team.

Qualifications

• 6-8 years of experience in IT, focusing on ML and Cloud technologies.
• Hands-on experience with AWS services, particularly SageMaker.
• Strong knowledge of Generative AI and LLMs.

Responsibilities

• Design and implement ML pipelines using AWS SageMaker.
• Develop Generative AI applications on AWS.
• Build APIs and microservices for ML model consumption.

Skills

AWS SageMaker

Python

ML frameworks (TensorFlow, PyTorch, Scikit-learn)

AWS services (Lambda, API Gateway, S3, IAM, CloudWatch)

MLOps practices

Generative AI concepts

Problem-solving skills

Job description

A leading IT consulting firm in Toronto is seeking a Mid-Senior Level Professional to enhance their AI initiatives. The ideal candidate will design and implement machine learning pipelines using AWS SageMaker and develop Generative AI applications. Candidates should have 6-8 years of experience in IT, with strong knowledge of AWS services and ML frameworks. This full-time role offers a competitive salary between CA$110,000 and CA$130,000, coupled with opportunities to innovate within a dynamic team.