6 дней назад
Senior Machine Learning Operations Developer (AI/ML Platform)
123 000 - 180 400CAD
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Operations Developer (AI/ML Platform): Building and operating scalable infrastructure, deployment pipelines, and monitoring systems for machine learning and generative AI solutions with an accent on model productionization, platform efficiency, and governance. Focus on automating CI/CD and data pipelines, orchestrating workloads with containers, enforcing security and compliance, and resolving complex operational incidents.
Location: Toronto, Ontario, Canada
Salary: CAD 123,000–180,400 annually, with potential bonuses, stock grants, and benefits.
Company
develops 3D design, engineering, manufacturing, construction, and entertainment software.
What you will do
- Implement and optimize MLOps practices for an AI/ML platform supporting machine learning and generative AI solutions.
- Design and maintain automated model deployment pipelines from development through production.
- Build scalable infrastructure for model training, inference, and data processing.
- Develop monitoring, logging, model versioning, and governance systems.
- Improve data pipelines, automate the MLOps lifecycle, and support incident response and system recovery.
- Enforce security, data privacy, ethical, and compliance standards across the platform.
Requirements
- BS or MS in Computer Science or a related field.
- 5+ years of hands-on DevOps and MLOps experience deploying and managing machine learning models in production.
- Experience with Infrastructure as Code using Terraform or Ansible.
- Strong expertise in Docker and Kubernetes, plus CI/CD pipelines for machine learning projects.
- Scripting skills in Python, Bash, or similar languages, and experience with monitoring and logging tools such as Prometheus, Grafana, or ELK Stack.
- Understanding of MLOps security, data encryption, access controls, compliance, and complex operational troubleshooting.
Nice to have
- Experience with AWS or Azure and MLOps databases or storage solutions such as SQL, NoSQL, or data lakes.
- Exposure to TensorFlow or PyTorch and their integration into MLOps workflows.
- Experience with Git, Jira, and Agile development methodologies.
Culture & Benefits
- Collaboration with research, product engineering, data development, software development, and engineering teams.
- Work on products spanning design, construction, manufacturing, and media and entertainment.
- Competitive compensation may include annual cash bonuses, stock grants, and comprehensive benefits.
- In-person onboarding and/or identity verification may be required.
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