Artificial Intelligence Engineer
2 weeks ago
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
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