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Artificial Intelligence Engineer

2 months ago

Bengaluru, India curiolab Full time

Curiolabs is at the forefront of artificial intelligence and machine learning innovation. We're seeking a talented AI/ML Engineer to join our team and help push the boundaries of what's possible with large language models (LLMs).

We seek an experienced AI/ML Engineer specializing in fine-tuning and optimizing large language models. The ideal candidate will have a strong background in natural language processing, deep learning, and hands-on experience with state-of-the-art LLM architectures.



Key Responsibilities

  • Design and implement fine-tuning strategies for large language models to improve performance on specific tasks or domains
  • Develop and maintain pipelines for efficient training and evaluation of LLMs
  • Optimize model performance, focusing on accuracy, inference speed, and resource utilization
  • Collaborate with cross-functional teams to integrate LLM capabilities into production systems
  • Stay current with the latest advancements in LLM research and implement novel techniques
  • Contribute to the development of internal tools and frameworks for LLM experimentation and deployment

Required Qualifications

  • Bachelor's degree in Computer Science, Machine Learning, or a related field (Master's or PhD preferred)
  • 3+ years of experience in machine learning engineering, with a focus on natural language processing and deep learning
  • Proven experience fine-tuning large language models (e.g., BERT, GPT, T5)
  • Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow
  • Experience with distributed training and optimization techniques for large-scale models
  • Solid understanding of machine learning concepts, including transfer learning, few-shot learning, and prompt engineering
  • Familiarity with MLOps practices and tools for model versioning, experiment tracking, and deployment

Preferred Qualifications

  • Experience with cloud platforms (AWS, GCP, or Azure) for large-scale model training and deployment
  • Contributions to open-source projects or research publications in the field of NLP or LLMs
  • Knowledge of model compression techniques, such as quantization and pruning
  • Familiarity with ethical AI principles and practices for responsible AI development

Projects and Achievements

The ideal candidate should be able to demonstrate their expertise through:

  • Successful projects involving fine-tuning LLMs for specific applications
  • Measurable improvements in model performance or efficiency through innovative techniques
  • Development of tools or frameworks that enhance LLM development workflows
  • Contributions to the AI/ML community through blog posts, talks, or open-source projects

What We Offer

  • Opportunity to work on cutting-edge AI technology with real-world impact
  • Collaborative and innovative work environment
  • Competitive salary and benefits package
  • Professional development and learning opportunities


If you're passionate about pushing the boundaries of AI and have a track record of success in working with large language models, we want to hear from you