AWS ML Developer - Python, Azure Cloud

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

Responsibilities

• AWS Cloud Computing
• 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.

Qualifications

• Hands‑on experience with AWS SageMaker (training, inference, pipelines, model registry).
• Strong knowledge of AWS Bedrock and generative AI concepts (LLMs, prompt engineering).
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit‑learn).
• Experience with AWS services Lambda, API Gateway, S3, IAM, CloudWatch.
• Familiarity with MLOps practices and CI/CD pipelines for ML.
• Understanding of data engineering concepts and feature engineering.
• Excellent problem‑solving and communication skills.

Experience: 6-8 years

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

Location: Markham, Ontario, Canada

Salary: CA$110,000.00 - CA$130,000.00