Senior AI Developer

CBTS serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions--including Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients' transformative business initiatives. For more information, please visit www.cbts.com.

OnX is a leading technology solution provider that serves businesses, healthcare organizations, and government agencies across Canada. OnX combines deep technical expertise with a full suite of flexible technology solutions—including Generative AI, Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, OnX delivers comprehensive technology solutions for its clients’ transformative business initiatives. For more information, please visit www.onx.com.

Description

Responsibilities

As an AI and Machine Learning Consultant, you will:

• Implement AI solutions for accelerators, IP solutions or recommendation engines using Vertex AI or Google Cloud AI Platform.
• Conduct security assessments of AI-powered solutions based on policies and guidance
• Collaborate with stakeholders to integrate AI into existing workflows.

Requirements

• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud-based AI platforms.
• Familiar with building solutions using Large Language Models (LLMs) particularly using Vertex AI
• Knowledge of AI ethics and responsible AI practices to ensure fair and unbiased model outcomes.
• Experience with cloud-native analytics platforms like Google BigQuery.
• Strong programming skills in Python for AI, data processing tasks and UI.
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
• Effective communication skills, written and oral.
• Advanced understanding of data engineering principles, including data pipeline creation
• Proficiency in using version control systems like Git for collaborative code development.
• Familiarity with Agile methodologies and experience working in Agile teams.
• Ability to perform exploratory data analysis to uncover insights and inform model development.
• Experience with integrating and working alongside DevOps teams to ensure smooth workflow transitions.