Machine Learning Engineer

Adobe is a global leader in digital experiences, empowering everyone from emerging artists to global brands with tools for design and digital content creation.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Engineer

Adobe is revolutionizing the world of digital experiences, providing comprehensive solutions for everyone from emerging artists to global brands. As a Machine Learning Engineer based in Bangalore, you'll be at the forefront of innovation, working on cutting-edge ML solutions that shape the future of digital experiences.

The role involves developing and implementing complex machine learning solutions using Natural Language Processing (NLP), Generative AI, and Retrieval Augmented Generation (RAG). You'll work with transformer architectures and build scalable ML models for production deployment.

Key responsibilities include:

  • Collaborating with cross-functional teams on project interfaces
  • Implementing ML solutions using NLP, Generative AI, and RAG
  • Developing and deploying scalable ML models
  • Monitoring and optimizing model performance
  • Building reliable data processing pipelines
  • Conducting analysis and presenting insights to leadership

Requirements:

  • Master's degree or equivalent in Machine Learning
  • 10 years total experience: 5+ years in ML and 5+ years in software/data engineering
  • Strong Python skills with expertise in ML frameworks (PyTorch, TensorFlow, Scikit-learn)
  • Experience with MLOps and production deployment
  • Strong problem-solving abilities and innovative thinking
  • Collaborative mindset and ability to work in diverse teams

This role offers the opportunity to work with cutting-edge technology at a global leader in digital experiences, making a significant impact on products used by millions worldwide. You'll be part of a dynamic team that values innovation and creative problem-solving, with the chance to shape the future of AI applications in creative software.

Last updated 2 days ago

Responsibilities For Machine Learning Engineer

  • Collaborate with cross-functional teams on project interfaces
  • Implement ML solutions using NLP, Generative AI, and RAG
  • Develop and deploy scalable ML models
  • Monitor and evaluate ML model performance
  • Build reliable data processing pipelines
  • Conduct analysis and present insights to leadership
  • Drive innovation through research and experimentation

Requirements For Machine Learning Engineer

Python
  • Master's degree or equivalent in Machine Learning
  • 10 years total experience: 5+ years in ML and 5+ years in software/data engineering
  • Strong Python skills with ML frameworks (PyTorch, TensorFlow, Scikit-learn)
  • Knowledge and practice of MLOps
  • Experience working with both research and product teams
  • Strong problem-solving skills and innovative thinking
  • Ability to work in collaborative, diverse teams

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