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Associate Staff Engineer, Machine Learning - Remote

Posted 22 hours ago
Software Development
Full Time
Worldwide

Overview

The Associate Staff Engineer in Machine Learning will be responsible for developing impactful solutions in machine learning, particularly in areas such as NLP and machine vision. The role involves translating client requirements into technical designs and collaborating with teams to implement these solutions.

In Short

  • 5+ years of experience in machine learning
  • Proficient in Python and R
  • Experience with data manipulation libraries (e.g., Pandas, NumPy)
  • Strong understanding of statistical concepts
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
  • Practical experience with Generative AI frameworks
  • Excellent problem-solving and communication skills
  • Ability to work effectively in teams
  • Experience with AI ethics
  • Bachelor’s or master’s degree in relevant field

Requirements

  • 5+ years of experience in machine learning
  • Strong working experience in NLP, machine vision, and AI
  • Proficiency in Python or R
  • Strong understanding of statistical concepts
  • Strong programming skills in Python
  • Proficiency in deep learning frameworks
  • Practical experience with Generative AI frameworks
  • Excellent problem-solving skills
  • Strong communication and teamwork skills
  • Experience with AI ethics

Benefits

  • Dynamic and non-hierarchical work culture
  • Opportunity to work with a global team
  • Engagement in innovative projects
  • Professional growth opportunities
  • Flexible working arrangements
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Nagarro

Nagarro is a rapidly scaling Digital Product Engineering company that specializes in building innovative products, services, and experiences that inspire and delight users. With a global presence of over 18,000 experts across 36 countries, Nagarro operates in a dynamic and non-hierarchical work culture. The company is committed to delivering high-quality digital solutions across various devices and mediums, and is actively seeking talented individuals to join their team.

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