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Senior Machine Learning Engineer

extra holidays

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Massachusetts (USA), United States

Offer summary

Qualifications:

8+ years in AI systems development, Proficiency in Python, Java, or Golang, Understanding of large-scale data processing systems, Master’s Degree or PhD in relevant field.

Key responsabilities:

Drive advancements in AI research
Develop and refine computer vision algorithms
Collaborate with cross-functional teams
Perform testing and documentation of models

Wasabi Technologies Computer Software / SaaS Scaleup https://www.wasabi.com/

201 - 500 Employees

See more Wasabi Technologies offers

Job 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.

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.