Mechine Learning Engineer

3 weeks ago


Nashik, India Matrice.ai Full time

About Matrice: Matrice AI is building a one-stop solution to build, deploy and manage AI applications. We help customers build applications with low or no code.


Responsibilities:

  • Develop and implement state-of-the-art computer vision models for image segmentation, object detection, and video classification
  • Design and conduct experiments to improve model performance and efficiency
  • Implement action tracking algorithms for video processing applications
  • Collaborate with the backend team to integrate ML models into the production environment
  • Preprocess and analyze large datasets for training computer vision models
  • Optimize model performance for deployment on various hardware platforms
  • Stay up-to-date with the latest advancements in computer vision and deep learning
  • Contribute to the development of ML pipelines for model training, evaluation, and deployment
  • Participate in code reviews and contribute to improving ML development practices

Qualifications:

  • Final year Computer Science graduate (BE/BTech/ME/MTech)
  • Good knowledge of Operating Systems, Databases, and Networking
  • Previous industry experience in using Deep Learning algorithms for Computer Vision, especially in video processing
  • Familiarity with current SOTA computer vision models, including fundamental models like Segment Anything and CLIP
  • Completed deep learning courses from Coursera or DeepLearning.ai
  • Strong understanding of Deep Learning model training on Computer Vision datasets
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
  • Strong fundamental knowledge of algorithms and data structures
  • Excellent troubleshooting and problem-solving skills
  • Learning mentality and openness to new technologies
  • Basic understanding of MongoDB, Git, and Docker Containerization (preferred)
  • Knowledge in MERN stack or any other backend stack (preferred)

Why Join Matrice?

Join Matrice AI to work on cutting-edge AI and computer vision applications, gain valuable industry experience in machine learning, and be part of a team building innovative low-code/no-code solutions.



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