Max notice : Maximum One month/ immediate joiners

Experience: 4-5 years

Location: Bangalore only

**Candidate has to work on the Hardware at Bangaluru electronic city office

CTC: Upto 23 Lakhs

Key Responsibilities:

• Design, develop, and optimize deep learning models for various applications, including NLP, computer vision, and deep leaning learning.


• Develop, test, and deploy scalable deep learning solutions using PyTorch and PyCUDA for GPU-accelerated computing.


• Implement efficient tokenization methods to enhance the performance of Language models.


• Collaborate with data scientists, software engineers, and product teams to integrate deep learning models into production systems.


• Analyze and interpret model performance and fine-tune algorithms to improve accuracy and efficiency.


• Stay updated with the latest research and advancements in deep learning technologies.

Required Skills and Experience:

*Must have work experience in Nvidea Jetson Series **

• Strong experience in developing deep learning algorithms for real-world applications.


• Excellent proficiency in Python development, with an ability to write clean, efficient, and well-documented code.


• Hands-on experience with PyTorch for building and training deep learning models.


• Solid understanding of tokenization techniques, especially in the context of NLP.


• Proficiency with GPU programming and optimization using PyCUDA or similar tools.


• Experience with debugging, profiling, and optimizing deep learning models for performance.


• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

• Experience with other deep learning frameworks such as TensorFlow.


• Familiarity with distributed training techniques.


• Knowledge of model deployment frameworks like TensorRT or ONNX.