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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.
