Senior ML Platform Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior ML Platform Engineer (AI): Building and operating scalable infrastructure and robust platforms that power AI solutions across with an accent on LLM-based solutions, CI/CD, and model governance. Focus on designing scalable ML pipelines, optimizing model latency, and integrating state-of-the-art AI tools to accelerate delivery.
Location: Must be based in Eastern Canada. Candidates local to the Toronto hub are expected to be in office minimum two days per week.
Salary: $154,700 – $209,300 CAD
Company
is the global leader in legal AI technology, empowering legal professionals and law firms to work smarter, faster, and more securely.
What you will do
- Build and deploy LLM-based solutions to improve operational efficiency for customers.
- Collaborate cross-functionally with engineering, product, and data science teams to develop new ML-driven features.
- Evaluate and integrate new ML tools and frameworks to accelerate experimentation and optimize operations.
- Troubleshoot and resolve production issues, such as data drift and model latency, using observability tools.
- Participate in design reviews and contribute to architectural decisions shaping the AI platforms.
- Mentor teammates and conduct code reviews to maintain high engineering standards.
Requirements
- Solid Python or Ruby on Rails development skills for building production-grade applications or ML tooling.
- Expertise in cloud infrastructure (AWS, GCP, or Azure), including Kubernetes and infrastructure-as-code (Terraform, Helm).
- Experience with CI/CD and automating model training, testing, and deployment pipelines.
- Deep understanding of machine learning and AI concepts, workflows, and lifecycle management.
- Must be based in Eastern Canada.
- Toronto-based candidates: Minimum two days per week in-office attendance required.
Nice to have
- Familiarity with AI observability tools (logging, metrics, tracing) to monitor and debug AI systems.
- Awareness of ML governance, responsible AI, and best practices for secure, compliant AI operations.
- Proficiency in developing and utilizing guardrails for secure and reliable AI operations.
Culture & Benefits
- Competitive, equitable salary with top-tier health, dental, and vision insurance.
- Hybrid work environment with flexibility for remote work within the region.
- Flexible time off policy, with an encouraged 20 days off per year.
- $2,000 annual counseling benefit.
- RRSP matching and RESP contribution.
- Recognition program (versary) for long-term tenure.
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