At a Glance
- Tasks: Join our team to retrain and fine-tune Large Language Models for innovative AI solutions.
- Company: Purple Dot Digital Limited is a forward-thinking company in the AI and IT consulting space.
- Benefits: Enjoy competitive pay, flexible work hours, and opportunities for professional growth.
- Why this job: Be part of a creative culture that values collaboration and innovation in AI technology.
- Qualifications: 3-5 years in AI/ML with expertise in LLMs; proficiency in Python and deep learning frameworks required.
- Other info: Remote work options available; UK residency and working visa required.
The predicted salary is between 30000 - 42000 £ per year.
We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot.
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.
Required skills:
- Experience in retraining LLMs on various datasets
- Conversational AI
- Python
- Docker
Preferred Skills:
- Experience with specialized AI domains such as conversational AI, sentiment analysis, or recommendation systems.
- Knowledge of model interpretability techniques and responsible AI practices.
- Familiarity with MLOps pipelines for continuous integration and deployment of AI models.
- Experience with API development and integration for deploying AI services.
- Prior experience in working with proprietary or sensitive data.
What We Offer:
- Competitive Salary: Based on experience and expertise.
- Professional Growth: Opportunities for career development, including access to the latest AI research and technologies.
- Flexible Work Environment: Options for remote work and flexible hours to promote work-life balance.
- Innovative Culture: Join a forward-thinking team that values creativity, collaboration, and innovation.
Interested candidates are invited to submit their resume, a cover letter, and any relevant project portfolios.
UK Skilled Worker Visa Sponsorship: We do not offer UK Skilled Worker Visa Sponsorship. If you are a UK resident then you must have a working UK VISA to apply for this job.
Contact Detail:
Purple Dot Digital Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer (LLM Specialist), Retrain and Fine-Tume LLMs On Our Datasets
✨Tip Number 1
Network with professionals in the AI and machine learning community. Attend meetups, webinars, or conferences focused on LLMs to connect with potential colleagues and learn about the latest trends in the field.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects related to LLMs. This not only enhances your skills but also demonstrates your commitment and knowledge to potential employers.
✨Tip Number 3
Engage with relevant online communities, such as forums or social media groups dedicated to AI and LLMs. Sharing insights and asking questions can help you stay updated and make valuable connections.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm problems specifically related to AI and machine learning. Familiarise yourself with common questions about LLMs and their applications.
We think you need these skills to ace AI Developer (LLM Specialist), Retrain and Fine-Tume LLMs On Our Datasets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Large Language Models (LLMs) and any relevant projects you've worked on. Use specific examples that demonstrate your skills in retraining and fine-tuning LLMs.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI development and explain why you're a great fit for the role. Mention your familiarity with tools like Python, TensorFlow, or PyTorch, and how you can contribute to the team at Purple Dot Digital Limited.
Showcase Relevant Projects: If you have a portfolio of projects related to conversational AI or LLMs, include it with your application. Highlight any specific achievements or challenges you overcame in these projects to demonstrate your problem-solving skills.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in the tech industry.
How to prepare for a job interview at Purple Dot Digital Limited
✨Showcase Your LLM Expertise
Be prepared to discuss your experience with Large Language Models in detail. Highlight specific projects where you've retrained or fine-tuned LLMs, and be ready to explain the methodologies you used and the outcomes achieved.
✨Demonstrate Data Skills
Since the role involves working with proprietary datasets, be sure to talk about your experience in data preprocessing and management. Discuss any tools or techniques you've used to curate and integrate data into models.
✨Prepare for Technical Questions
Expect technical questions related to Python, deep learning frameworks, and NLP techniques. Brush up on key concepts like tokenization, embeddings, and model optimisation to confidently answer these queries.
✨Communicate Effectively
As the role requires collaboration with non-technical stakeholders, practice explaining complex AI concepts in simple terms. This will demonstrate your communication skills and ability to work within cross-functional teams.