Machine Learning Serving Engineer

Machine Learning Serving Engineer

Samsung R&D Institute Poland

Warszawa

Opis stanowiska

Wymagania

6+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree., Extensive industry experience in low latency, high throughput distributed microservices., Extensive experience with machine learning serving system design, architecture, real time monitoring/alerting components (e.g., Prometheus/ Grafana), and distributed cache systems (e.g., Redis/Aerospike)., Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc.)., Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills., Knowledge on testing frameworks for online A/B testing, canary, blue-green deployment., Extensive programming experience in Python, Go or other OOP languages and familiarity with data structures, algorithms and software engineering principles., Strong communication and interpersonal skills to drive cross-functional partnerships., Ability to work in a fast-paced environment, quickly debug issues, provide proof of concept solutions and apply the changes to production., Knowledge about ML serving technologies, such as Seldon, Triton, ONNX, ONCL, TensorRT., Knowledge about Amazon Web Services (AWS)., Experience with the advertising industry and real-time bidding (RTB) ecosystem., Full stack experience with Ruby on Rails and React.

Benefity

unlimited free access to Copernicus Science Center, mentoring program, psychological support, possibility to test new Samsung products, sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, life insurance, corporate products and services at discounted prices, integration events, dental care, no dress code, leisure zone, pre-paid cards, baby layette, charity initiatives

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Wyświetlenia: 6
Opublikowanaokoło 10 godzin temu
Wygasaza około 2 miesiące
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