22 часа назад
Senior Backend Engineer (MLOps)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Engineer (MLOps) (Marketplace/AI): Building backend systems for search, ranking, matching, and machine-learning-powered marketplace experiences with an accent on MLOps infrastructure, feature stores, and real-time data pipelines. Focus on deploying models reliably at scale, optimizing performance and latency, and solving complex backend and infrastructure challenges.
Location: Remote, Mexico City
Compensation: Competitive USD pay
Company
provides nearshore staff augmentation and technology solutions for U.S. companies, with a distributed team of technology professionals across Latin America.
What you will do
- Build and maintain full-stack marketplace features for search, ranking, matching, and user-facing experiences.
- Develop and support MLOps infrastructure, including model deployment pipelines, feature stores, real-time data pipelines, and monitoring.
- Collaborate with data scientists and engineers to bring machine learning models into production reliably and at scale.
- Write tested, maintainable code, participate in code reviews, and contribute to technical planning.
- Identify and resolve performance, reliability, and scalability issues across existing systems.
- Work with SQL, data and feature pipelines, experimentation frameworks, and distributed teams across time zones.
Requirements
- 5+ years of professional software engineering experience with strong backend or full-stack development skills.
- Proficiency in at least one of Go, Python, Ruby, or JavaScript/TypeScript.
- Hands-on experience with MLOps or production machine learning systems, such as Vertex AI, MLflow, Kubeflow, or equivalent tools.
- Experience with feature stores, strong SQL skills, and data or feature pipelines.
- Experience with cloud platforms such as GCP, AWS, or Azure; GCP is preferred.
- Strong debugging, communication, ownership, and cross-functional collaboration skills.
Nice to have
- Experience with search, ranking, recommendation systems, real-time systems, or performance and latency optimization.
- Experience with online marketplaces, mentoring engineers, frontend development, A/B testing, or AI-assisted development tools.
Culture & Benefits
- 100% remote work with autonomy over working time and location.
- Competitive compensation paid in USD.
- Paid time off and a focus on well-being and work-life balance.
- Projects with American technology companies and opportunities to work with experienced professionals.
- Access to a multicultural network of more than 600 professionals across 25+ countries.
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