Advanced Machine Learning Specialist

2 weeks ago


India InfiVR Full time

At InfiVR, we are seeking a highly skilled Advanced Machine Learning Specialist to join our innovative team. The ideal candidate will have a strong background in machine learning concepts and algorithms, with experience working with frameworks such as TensorFlow, PyTorch, and Hugging Face.

This is a hands-on role where you will work on cutting-edge projects that leverage advanced AR / VR, AI, and machine learning technologies to solve real-world problems. You will be responsible for researching, implementing, training, and testing machine learning models, particularly in the areas of vision intelligence and text generation.

Key Responsibilities:

  • Research & Development: Research state-of-the-art machine learning models in vision intelligence and text generation.
  • Model Implementation: Implement and fine-tune machine learning models using frameworks such as TensorFlow, PyTorch, and Hugging Face.
  • Training & Testing: Train models on relevant datasets, ensuring robust performance and accuracy.
  • Model Optimization: Optimize models for deployment on different platforms, ensuring they meet performance requirements.

The ideal candidate will have a strong understanding of machine learning concepts and algorithms, with experience working with datasets and competitions on platforms like Kaggle. Proficiency in Python and libraries such as NumPy, Pandas, OpenCV, and scikit-learn is required.

We offer a competitive salary of $80,000 per year, flexible working hours, and a collaborative work environment. As an Advanced Machine Learning Specialist at InfiVR, you will have the opportunity to work on impactful projects, contribute to the development of new technologies, and enhance your skills in a fast-paced and dynamic environment.

What We Offer:

  • Hands-on experience with cutting-edge machine learning technologies.
  • Mentorship from experienced professionals in the field.
  • Opportunity to work on impactful projects that could lead to a full-time position.
  • Flexible working hours and a collaborative work environment.


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