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Senior Machine Learning Engineer
Wasabi Technologies
Posted over a month ago
Description

Role Description: Senior Machine Learning Engineer

 

Role Purpose: 


Wasabi is seeking an experienced Senior Software Engineer with a solid background in machine learning and software development to contribute to Wasabi AiR. In the spirit of our disruptive approach to cloud storage our AI/ML product, Wasabi AiR resets the paradigm of how cloud storage and machine-learning compliment each other and enrich the accessibility of data. This role is perfect for candidates who thrive in team-oriented environments, enjoy mentoring, lead complex projects, and are passionate about building scalable, high-quality machine learning solutions.  


*Principals only. No recruiters.

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Responsibilities:
  • Drive advancements in AI, keeping up-to-date with the latest research and applying innovative techniques in production. 
  • Develop and refine computer vision algorithms for tasks such as object detection, tracking, and scene understanding, with a focus on designing and implementing NLP models and algorithms. 
  • Apply machine learning technologies to enable systems to learn and adapt to complex situations. 
  • Collaborate closely with cross-functional teams to ensure smooth integration of machine learning capabilities across projects. 
  • Perform testing, debugging, and documentation of machine learning models to ensure reliable installation and maintenance. 


Requirements:
  • 8+ years in architecting, designing, developing, integrating, and supporting complex AI systems.
  • Proficiency in one or more object-oriented programming languages, such as Python, Java, or Golang, with experience in distributed systems. 
  • Deep understanding of large-scale data processing systems and computing frameworks, with a proven ability to optimize and troubleshoot machine learning models. 
  • Hands-on experience ML training and fine-tuning large models with in-house data. 
  • Strong communication and problem-solving abilities, with the ability to document and adhere to timelines effectively. 
  • Master’s Degree or PhD in Computer Science, Data Science, or a related field preferred. 


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