Machine Learning Engineer

6 days ago


Hyderabad, Telangana, India JAGGAER Full time

About JAGGAER

JAGGAER is a leading company in the Autonomous Commerce revolution, providing enterprise buyers and suppliers with smart-match recommendations using AI and machine learning. Our intelligent procurement solutions leverage IoT technology and autonomously execute repetitive tasks to facilitate commerce.

With over 1,250 employees worldwide, we focus on customer success and innovation.

Job Summary

We are seeking an experienced Machine Learning Engineer to join our team of talented professionals. As a key member of our data science group, you will design and implement innovative artificial intelligence and machine learning solutions using Python and other technologies.

Your Responsibilities

  • Develop, test, and validate production-ready machine learning models using TensorFlow, PyTorch, and Scikit-learn frameworks.
  • Work closely with data engineers to identify opportunities for Internet-scale data mining and intelligent solutions.
  • Write high-performance queries and process large-scale data.
  • Implement new features, expand existing ones, and improve the platform.
  • Foster a culture of collaboration and adaptability within our team.

Requirements

  • A minimum of 3 years of experience in professional software development environments.
  • Expertise in natural language processing, classification, pattern recognition, and referral systems.
  • Familiarity with Git, relational/No-SQL database systems, and Machine learning platforms on AWS, Azure, or GCP.
  • A strong background in algorithms, data structures, design patterns, and efficient programming.
  • Excellent command of English (written and spoken).

What We Offer

  • A positive, friendly, and international working environment.
  • A trust-based flexible working environment.

Our Values

  • Collaboration: Foster a culture of mutual respect, effective communication, and shared responsibility.
  • Accountability: Take ownership, learn from challenges, and rise above obstacles.
  • Adaptability: Embrace change, encourage innovation, and remain effective in dynamic environments.

We offer a competitive salary of $120,000 per year, commensurate with experience, plus benefits and opportunities for growth and professional development. Only applicants meeting the above criteria will be contacted.



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