Remote Otter LogoRemoteOtter

Machine Learning Engineer - Remote

Posted 17 hours ago
Software Development
Full Time
India

Overview

This role is for one of the Weekday's clients, ideal for a machine learning professional passionate about solving complex visual intelligence problems using cutting-edge deep learning techniques.

In Short

  • Design and deploy image-focused ML solutions.
  • Work on visual understanding and image generation applications.
  • Collaborate with engineering, product, and research teams.
  • Translate business challenges into scalable computer vision systems.
  • Push the boundaries of model performance and reliability.
  • Minimum experience required: 3 years.
  • Full-time job position.
  • Remote work opportunity from India.
  • Focus on complex visual intelligence problems.
  • Utilize cutting-edge deep learning techniques.

Requirements

  • 3+ years of experience in machine learning.
  • Strong knowledge of deep learning frameworks.
  • Experience in computer vision projects.
  • Ability to collaborate with cross-functional teams.
  • Proven problem-solving skills.
  • Ability to work independently in a remote setting.
  • Strong analytical skills.
  • Good communication skills.
  • Experience with production-ready ML systems.
  • Familiarity with image processing techniques.

Benefits

  • Opportunity to work on cutting-edge technology.
  • Flexible working hours.
  • Collaboration with talented professionals.
  • Remote work flexibility.
  • Potential for career growth.
  • Engagement in impactful projects.
  • Competitive salary.
  • Access to training and development resources.
  • Inclusive work environment.
  • Health and wellness benefits.
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Weekday AI

Weekday AI, a Y-Combinator-backed company, operates as a sourcing engine on auto-pilot, facilitating the hiring of engineers through referrals from other tech professionals. Ranked #1 on Product Hunt, Weekday AI offers startups a streamlined hiring process that includes automated outreach and instant reference checks, enabling companies to receive qualified candidates within just four days of signing up.

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