8 дней назад
Senior Backend Developer (Machine Learning Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Developer (Machine Learning Platform) (Java/Spring/Python, AWS): Building and operating scalable backend services for an AI platform that trains thousands of models and serves hundreds of millions of queries and LLM calls daily with an accent on distributed systems, observability, reliability, and machine learning infrastructure. Focus on integrating models and agentic applications into production, orchestrating scalable services, and supporting real-time inference at scale.
Location: Montreal, Quebec, Canada
Company
develops an AI platform that trains machine learning models and serves large-scale search and prediction workloads.
What you will do
- Contribute to the full development lifecycle, including coding, testing, and deployment.
- Improve the usability, observability, and reliability of the AI platform.
- Maintain backend services handling millions of requests and LLM calls per day.
- Integrate machine learning models and agentic applications into production with applied scientists, data engineers, and developers.
- Evolve platform capabilities for growing machine learning models and agentic workflows.
- Use AI coding tools and suggest improvements to development processes.
Requirements
- 5+ years of backend development experience in a cloud environment.
- Experience with Java/Spring or Python; AWS experience is an asset.
- Good understanding of distributed systems and scalable application design.
- Ability to solve problems and debug systems.
- Comfort learning new tools, technologies, and best practices.
Nice to have
- Familiarity with Kubernetes, Terraform, OpenSearch Serverless, or vector databases.
- Experience with machine learning workflows or model deployment.
- Interest in scalable backend services, large-scale real-time systems, model orchestration, or real-time inference at scale.
Culture & Benefits
- Accessible employment practices and recruitment accommodations are available.
- Applications are encouraged from candidates with diverse backgrounds and transferable skill sets.
- Technology may be used during the hiring process to support candidate evaluation.
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