AI/ML Engineer

Role: AWS Sagemaker

Location: Toronto,ON (Hybrid)

Job Type: Contract

Job Description:

• Develop and implement machine learning models and data science algorithms using Python.
• Utilize SQL for data manipulation and querying.
• Build and optimize ML models using XGBoost and other relevant tools.
• Work with AWS components such as SageMaker and S3 for deploying and managing machine learning models.
• Develop and maintain Generative AI (GenAI) solutions, including Retrieval Augmented Generation (RAG) models.
• Utilize AWS Bedrock, vector databases, and embedding techniques for advanced AI solutions.
• Collaborate with cross functional teams to integrate machine learning solutions into production systems.
• Stay updated with the latest advancements in machine learning and AI technologies.

Requirements

• Hands on experience in machine learning and data science algorithms using Python.
• Proficiency in SQL.
• Strong knowledge and experience in building ML models using XGBoost, scikit-learn.
• Exposure to AWS components such as SageMaker and S3.
• Experience with Generative AI, including RAG models, AWS Bedrock, vector databases, and embedding techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
• Design and develop scalable and resilient systems using Java or Python to contribute to continual, iterative improvements for product teams
• Executes software solutions, design, development, and technical troubleshooting
• Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems