Apply on Kit Job: kitjob.ca/job/2g93n5

Enhance client interactions as a Machine Learning Data Engineer. Drive innovative AI automation and build robust data pipelines to deliver personalized solutions that meet client needs effectively.
Your expertise will shape the bank's Next Best Action initiative by creating AI systems that effortlessly integrate into business processes. Collaborate closely with researchers and engineers to translate models into actionable insights, ensuring scalable and reliable performance across platforms. This role emphasizes end-to-end involvement in the ML data lifecycle to foster innovation.
Key Responsibilities:
• Design robust data pipelines for ML initiatives
• Collaborate closely with ML researchers for model deployment
• Create AI agents to streamline workflows




• Manage the ML data lifecycle from ingestion to optimization
• Uphold data quality for customer-centric solutions
Requirements:
• Bachelor’s degree in Computer Science or related field
• 3+ years of experience in data or software engineering
• Strong programming skills in Python and Java
• Proficiency with up-to-date ML tools like Spark
• Experience with DevOps and CI/CD practices
Leverage your ML and data engineering skills to revolutionize client services and create enduring value through innovative technology.
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Apply on Kit Job: kitjob.ca/job/2g93n5

📌 Machine Learning Data Engineer: Enhancing AI and Client Experiences (Toronto)
🏢 RBC
📍 Toronto