🛠 Tech Stack

💼 About This Role

You'll build Geotab's internal machine learning and generative AI platform, enabling data scientists to train models and build GenAI applications. Your work directly impacts production services for fleet management analytics. This role offers exposure to cutting-edge AI and big data at scale.

🎯 What You'll Do

• Develop and maintain machine learning platforms
• Implement logging, monitoring, and alerting for AI infrastructure
• Enrich big data with telematics data at scale
• Collaborate with data scientists on data processing needs

📋 Requirements

• 3-5 years experience in Python 3 development in production
• 3-5 years experience with cloud providers like GCP, AWS, or Azure
• 1-5 years experience in containerization (Docker, Kubernetes)
• Post-secondary degree in Computer Science or related field

✨ Nice to Have

• Knowledge of fine-tuning and self-hosting vision large language models
• Experience with Langgraph, CrewAI, or LiteLLM
• Familiarity with AI/ML platforms like Ray, VertexAI

🎁 Benefits & Perks

• 💻 Flex working arrangements
• 🏠 Home office reimbursement program
• 👶 Baby bonus parental leave top up
• 🚗 Electric vehicle purchase incentive
• 📚 Online learning and networking opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min