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Applied Materials Algorithm Developer 
India, Karnataka 
634241166

18.02.2025

An ideal candidate has demonstrated a strong research background and technical leadership in developing algorithms and softwares. The position requires a willingness to learn new technologies, solve complex problems and drive innovative solutions.

KEY RESPONSIBILITIES:

  • Utilize and create advanced AI and machine learning algorithms, including one-shot/few-shot learning,supervised/unsupervisedlearning, deep learning, and reinforcement learning, to address complex problems across various data modalities
  • Design, prototype, validate, and implement high-quality, scalable algorithms with a strong focus on performance and accuracy.
  • Implement algorithm designs using Python, TensorFlow, PyTorch, and C/C++, leveraging common machine learning and deep learning libraries and frameworks.
  • Exhibit strong attention to detail, analytical thinking, and problem-solving abilities, ensuring robust and effective solutions.
  • Thrive in a dynamic, startup-like setting, contributing to high-visibility initiatives and adapting to evolving challenges. Act as a resource for colleagues, fostering a collaborative and supportive team environment.
  • Collaborate with MLOPs, software engineers and product managers to productize and optimize algorithmic pipelines, integrating them seamlessly into our software solutions

TECHNICAL SKILLS:

  • Proficiency in advance AI and Machine Learning algorithms and its fundamentals
  • Research experience in state-of-the-art techniques in Machine Learning, Deep Learning, Computer Vision and Generative AI
  • Knowledge of frameworks such as PyTorch, TensorFlow or Keras
  • Knowledge of industry best practices and competitive landscape
  • Strong written and verbal presentation skills, both technical and non-technical audiences

REQUIREMENTS/EDUCATION:

  • MS or Ph.D. degree in Computer Science, Computer Engineer, Electrical Engineer, Mathematics, Statistics or related field
Master's Degree

7 - 10 Years

Full time

Assignee / Regular