Senior ML Infrastructure Engineer, Autonomy
well-funded deeptech startup
A leading Autonomy software organization are looking for a Senior ML Infrastructure Engineer. If you have a proven background applying machine learning approaches using rich data, collaborating across high-performance computing, machine learning, and autonomous system development then they’d be interested in speaking with you. Job Responsibilities: Building software components to address real-world machine learning challenges. Leading, developing, and managing containerization systems such as Kubernetes, Docker. Experience with ML modeling frameworks (PyTorch, Tensorflow, etc.). Excellent debugging, analytical and problem-solving skills Strong understanding of machine learning foundations. Experience working with cloud data processing technologies, such as Apache Spark, ElasticSearch, SQL, etc. #J-18808-Ljbffr well-funded deeptech startup
Vacancy posted 2 days ago
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