AI Engineer
3 weeks ago
We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our team at Purple Dot Digital Limited.
About the RoleAs an AI Engineer, you will be responsible for retraining and fine-tuning existing LLMs using proprietary datasets to meet specific business requirements. This role involves working closely with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs.
- Key Responsibilities:
- Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets to meet specific business requirements.
- Data Integration: Work with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs.
- Model Evaluation: Design and execute experiments to evaluate model performance, accuracy, and scalability, using metrics relevant to the business.
- Optimization: Implement model optimization techniques to improve efficiency, reduce latency, and enhance model scalability.
- Collaboration: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to align AI solutions with business goals.
- Deployment: Assist in deploying LLMs into production environments, ensuring robust and scalable AI solutions.
Qualifications:
- Experience: 3-5 years of experience in AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.).
- Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience).
- Technical Skills:
- Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms.
- Experience in retraining and fine-tuning LLMs using large-scale datasets.
- Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model training and deployment.
- Data Skills: Expertise in data preprocessing, augmentation, and management of large datasets for training purposes.
- Problem-Solving: Strong analytical and problem-solving skills, with the ability to address complex AI challenges.
- Communication: Excellent communication skills to explain technical concepts to non-technical stakeholders.
- Version Control: Proficiency with version control tools such as Git.
The estimated salary for this role is £80,000 - £110,000 per year, depending on experience.
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