AI Model Specialist

2 months ago

London, Greater London, United Kingdom Purple Dot Digital Limited Full time

{"h2": "AI Developer Role", "p": "We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to contribute to our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot.", "ul": [{"li": "Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets to meet specific business requirements."}, {"li": "Data Integration: Collaborate with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs."}, {"li": "Model Evaluation: Design and execute experiments to evaluate model performance, accuracy, and scalability, using metrics relevant to the business."}, {"li": "Optimization: Implement model optimization techniques to improve efficiency, reduce latency, and enhance model scalability."}, {"li": "Collaboration: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to align AI solutions with business goals."}, {"li": "Deployment: Assist in deploying LLMs into production environments, ensuring robust and scalable AI solutions."}], "h2": "Requirements", "p": "To be successful in this role, you will need:", "ul": [{"li": "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.)."}, {"li": "Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience).", "li": "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.", "li": "Required skills: Experience in retraining LLMs on various datasets, Conversational AI, Python, Docker."}, "p": "Preferred Skills:", "ul": [{"li": "Experience with specialized AI domains such as conversational AI, sentiment analysis, or recommendation systems."}, {"li": "Knowledge of model interpretability techniques and responsible AI practices."}, {"li": "Familiarity with MLOps pipelines for continuous integration and deployment of AI models."}, {"li": "Experience with API development and integration for deploying AI services."}, {"li": "Prior experience in working with proprietary or sensitive data."}], "h2": "Benefits", "p": "We offer:", "ul": [{"li": "Competitive Salary: Based on experience and expertise."}, {"li": "Professional Growth: Opportunities for career development, including access to the latest AI research and technologies."}, {"li": "Flexible Work Environment: Options for remote work and flexible hours to promote work-life balance."}, {"li": "Innovative Culture: Join a forward-thinking team that values creativity, collaboration, and innovation."}], "p": "Interested candidates are invited to submit their resume, a cover letter, and any relevant project portfolios.", "p": "We do not offer UK Skilled Worker Visa Sponsorship. If you are UK resident then you must have working UK VISA to apply for this job."}

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