AI/ML framework Staff Engineer

7 days ago

Bengaluru, Karnataka, India Qualcomm Full time ₹ 20,00,000 - ₹ 25,00,000 per year

General Summary:

Looking for ML framework and AI compiler Engineer responsible for

  • Designing, implementing, and deploying machine learning models using PyTorch
  • Focusing on backend infrastructure and system architecture.
  • Responsibilities often include developing framework, integrating with other AI tools, and ensuring scalability and reliability.

Here's a more detailed breakdown of what you might see in such a job description:

Key Responsibilities:

  • Model Development and Deployment: Designing, building, and deploying AI models, particularly those leveraging PyTorch for deep learning.
  • Backend Infrastructure: Developing and maintaining the backend systems that power AI applications, including data ingestion, processing, and storage.
  • System Architecture: Designing scalable and high-performance backend architectures to handle AI workloads.
  • Model Optimization: Optimizing model performance for speed, accuracy, and resource efficiency.
  • Integration: Integrating AI models with other systems and applications.
  • API Development: Creating and maintaining APIs for communication between frontend and backend components.
  • Data Handling: Managing data ingestion, preprocessing, and storage for AI training and inference.
  • Collaboration: Working with data scientists, product managers, and other engineers to bring AI solutions to life.

Tools, Technologies, Skills and Programming:

  • C, C++: Strong programming capability using advanced techniques to design and develop AI compilers and backends.
  • Scripting: Strong expertise in Python with design, develop, release and maintain projects.

  • AI Frameworks:Familiarity with other AI frameworks like PyTorch, TensorFlow, Hugging Face, etc.

  • Machine Learning Knowledge:Understanding of machine learning principles and algorithms starting Computer vision to large language models and continuously update to new trends.

  • Expertise to deep learning accelerator programming (GPU, NPU). Any parallel programming experience (Like CUDA, OpenCL, MKLDNN ..etc) is a plus.
  • Experience with deep leaning compilers like Glow, TVM etc is a plus.

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

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