C-Serv

Principal Machine Learning Engineer, General AI, ML & Big Data

🇨🇦 Calgary, Canada Hybride IT Lead Publié Mai 29, 2026
Mode de travail Hybride
Seniorité Lead
Catégorie IT
Catégorie IT Data Science et ML
Langue English
Publié 29 mai 2026
Dernière vérification 31 mai 2026
Contexte JobGrid

Résumé du poste par JobGrid

Principal Machine Learning Engineer, General AI, ML & Big Data at C-Serv: Calgary, Canada; Hybride; Lead; IT; Data Science et ML. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Calgary, Canada, Hybride
  • Role classification: IT, Data Science et ML, Lead
  • Source freshness: checked by JobGrid on 2026-05-31.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

About Opportunity

We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers’ platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning — powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.

The Role

As one of our Principal ML Engineer’s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

What You'll Do

  • Define and drive the technical vision for ML solutions across products and platforms
  • Own the end-to-end software development lifecycle — from design and code reviews through to deployment and operations
  • Architect high-performance, scalable microservices, including synchronous and asynchronous web services
  • Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing
  • Mentor engineers, set technical direction, and foster a strong team culture
  • Champion engineering excellence, system resilience, and continuous operational improvement