Senior AI Engineer- LLM Architectures

1 week ago


Pune, Maharashtra, India Attentions Full time

Job Title: Senior AI Engineer - LLM Architectures

Location: PUNE, INDIA

Job Type: Full-time

Company Overview:

is pioneering the future of artificial intelligence through advanced research and practical applications in deep learning, with a focus on LLMs (Large Language Models). We are committed to pushing the boundaries of AI to enhance natural language understanding and generative capabilities.

Job Description:

We are seeking a Senior AI Engineer with a specialized focus on LLM architectures, experienced in CUDA programming, PyTorch, and the use of the Triton toolkit for optimizing deep learning models. The ideal candidate will have a deep understanding of GPU programming and neural network optimization techniques, contributing directly to our core products and R&D projects.

Responsibilities:

  • LLM Development and Optimization: Design and implement large language models using PyTorch, focusing on scalability and efficiency. Optimize existing models using CUDA and Triton to enhance performance.
  • Research and Innovation: Conduct research that contributes to the state-of-the-art in LLM architectures, including publishing results in top-tier AI conferences and journals.
  • GPU Programming: Develop custom CUDA kernels and utilize Triton for creating high-performance operations tailored to the needs of neural network training and inference.
  • Collaboration: Work closely with other engineers, researchers, and product teams to integrate advanced AI models into commercial applications and services.
  • Technical Mentoring: Lead by example in technology and methodology, mentoring junior engineers and helping to guide the strategic direction of our AI engineering efforts.

Qualifications:

  • Education: Bachelor's, Master's or PhD in Computer Science with a focus on artificial intelligence and deep learning and cuda programming.
  • Experience: 5+ years of experience in AI and machine learning, with specific expertise in CUDA programming, PyTorch, and LLM architectures.
  • Skills:
  • Strong expertise in GPU programming and deep learning frameworks, particularly PyTorch.
  • Proficiency in developing and optimizing CUDA kernels.
  • Experience with Triton or similar tools for optimizing deep learning workloads on GPUs.
  • Demonstrated ability to design and implement complex LLMs.
  • Published work in AI/ML fields is highly desirable.
  • Soft Skills: Excellent problem-solving skills, innovative thinking, effective communication abilities, and a strong collaborative spirit.

How to Apply:

  • Interested candidates should submit their resume, a cover letter, and a portfolio of relevant projects or published papers through our careers portal.

How to Apply: Submit your resume, cover letter, and any relevant certifications to Be sure to highlight your experience and any exposure to AI technologies.

Join and be a part of a team that's shaping the future of generative AI



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