5 дней назад
Software Development Engineer III (ML Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Development Engineer III (ML Platform) (Python/TypeScript/MLOps): Building scalable ML platform services for computer vision, including inference services, reproducible training infrastructure, model registries, data lineage, and GPU orchestration with an accent on distributed systems, cloud infrastructure, and high-throughput APIs. Focus on designing multi-tenant GPU platforms, improving observability and CI/CD, and solving complex architectural challenges across AI Engineering, Research, Operations, and Annotation.
Location: Belgrade, Serbia; hybrid workplace
Company
develops vision AI solutions for leading retailers and operates a global ML Platform for the computer vision lifecycle.
What you will do
- Design and deliver scalable MLOps services, shared inference systems, model catalogs, priority queues, and auditable APIs.
- Build reproducible training infrastructure, experiment tracking, model registries, evaluation tooling, and end-to-end data lineage.
- Develop GPU cost tracking, quotas, fairness mechanisms, orchestration, and multi-tenant platform capabilities.
- Design APIs, SDKs, React dashboards, high-throughput data pipelines, and complex platform subsystems.
- Improve automated testing, CI/CD, observability, production troubleshooting, resilience, and technical documentation.
- Mentor SDE I/II engineers, review designs, and align technical decisions across AI Engineering, Research, Operations, and Annotation.
Requirements
- Typically 6+ years of relevant software engineering experience, or 3+ years of highly accelerated specialized experience.
- Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.
- Strong programming skills in at least one relevant language, such as Python, JavaScript/TypeScript, or C++.
- Strong understanding of distributed systems, microservices, cloud platforms, Linux, container orchestration, and cloud security and scalability.
- Experience with CI/CD pipelines, observability, operational readiness, troubleshooting, and automated validation.
- Strong technical communication, problem-solving, analytical, mentoring, and collaborative design skills.
Culture & Benefits
- Collaboration with AI Engineering, Research, Operations, and Annotation teams.
- Culture of open communication, continuous learning, technical knowledge sharing, and engineering mentorship.
- Hands-on work with a modern ML Platform stack across Azure, Kubernetes, Docker, MongoDB, Ray Serve, MLflow, Airflow, Terraform, Flower, TypeScript, and React.
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