AI/ML Innovation Engineer

Jonas Software

1d • $90,000 - $100,000

About The Position

About EWSGroup EWSGroup is a growth-oriented organization that thrives on innovation, collaboration, and technical excellence. We value proactive thinkers who can design scalable solutions, respond to operational challenges, and keep pace with emerging trends. If you're a systems engineer who enjoys both strategy and execution, we want to talk to you. As a member of the Jonas Software and Constellation Software Group (TSX: CSU), we offer the innovation and responsiveness of an entrepreneurial business, backed by the strength, resources, and long-term focus of a global software organization. Role Summary EWS Group is seeking an AI/ML Innovation Engineer to design, prototype, and operationalize new AI-powered capabilities across our product ecosystem. You’ll work hands-on with LLMs, machine learning models, and data pipelines to create intelligent features that transform the way moving and storage companies operate This role is split between strategic project work and Tier 3 operational escalation, requiring deep technical proficiency, excellent communication, and a strong sense of accountability. Compensation & Role Details: Expected Salary Range: The expected base salary range for this role is between $90,000 – $100,000 CAD depending on experience and qualifications Role Type: New Role AI Disclosure: AI may be used during the hiring process.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
• 4–8+ years of experience in software engineering or ML development (Python preferred)
• Proficiency with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
• Experience designing, deploying, and maintaining AI systems end-to-end, including RAG pipelines, fine-tuned LLMs, and cloud deployment on AWS or Azure (Azure OpenAI, Amazon Bedrock, SageMaker JumpStart)
• Familiarity with prompt engineering, embeddings, and vector search
• Strong analytical and problem-solving skills with an experimental mindset
• Excellent communication and collaboration skills across technical and business domains

Nice To Haves

• Experience building or integrating with LLM-based systems (e.g., GPT, Claude, Gemini, etc.)
• Exposure to MLOps concepts (model lifecycle, retraining, monitoring)
• Prior work in SaaS, logistics, or ERP environments a plus

Responsibilities

• Research, design, and build AI/ML prototypes that enhance product functionality or internal efficiency
• Experiment with large language models (LLMs), vector databases, and RAG pipelines
• Develop and test algorithms for prediction, optimization, and intelligent automation
• Evaluate and integrate APIs and SDKs from Azure AI, OpenAI, and other emerging AI platforms
• Work with product teams to define viable use cases and success metrics for AI features
• Partner with DevOps and data engineering teams to scale prototypes into production-ready components
• Document and share technical approaches for reusability across projects

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees