Senior ML Infrastructure Engineer, Autonomy Full Time

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.