LLM Engineer

7 days ago


Ahmedabad, Gujarat, India CloudStakes Technology Pvt. Ltd. Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Company Description

CloudStakes Technology Pvt. Ltd., headquartered in India with branches in Australia, the UK, and Canada, is a trusted global cloud solutions provider with over 7 years of industry expertise. Our focus is on enabling digital transformation and technology innovation for businesses across industries. By offering meticulously designed solutions, we help clients stay competitive and innovative in a rapidly changing market. From Managed IT Services to Data Analytics and IoT Development, we deliver a broad suite of offerings, supported by 24/7 dedicated support. Join us in driving excellence and innovation for organizations worldwide.

Role Description

This is a full-time on-site role for an LLM Engineer located in Ahmedabad. The LLM Engineer will be responsible for designing, training, and deploying large language models, ensuring their optimization for specific use cases. Tasks include developing algorithms, conducting model training experiments, fine-tuning pre-trained models, and assessing model performance. The role also involves collaborating with cross-functional teams to meet project requirements and staying updated with advancements in AI/ML and NLP technologies.

Qualifications

  • Strong expertise in Python programming and familiarity with libraries like TensorFlow, PyTorch, and Hugging Face
  • Comprehensive knowledge of machine learning, deep learning, and NLP, including experience with LLMs and transformer-based architectures
  • Proficiency in data preprocessing, data augmentation, and developing pipelines for training language models
  • Experience with algorithm design, model optimization, and fine-tuning pre-trained models
  • Strong mathematical and statistical skills, with an understanding of probabilistic models and neural network architectures
  • Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively
  • Experience with cloud platforms such as AWS, Azure, or GCP is a plus
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field

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