Middle LLM Engineer in Fluvius

Required Skills:

• Python, 3+ years
• Machine Learning, 3+ years
• API Development, 2+ years
• Experience with GPT models and the ChatGPT platform
• Proficiency in machine learning libraries such as TensorFlow, PyTorch, Hugging Face Transformers
• Strong understanding of NLP techniques and tools (NLTK, SpaCy, Gensim)
• Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization tools (Docker)
• Familiarity with data analysis tools (Pandas, NumPy, Matplotlib)
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
• Upper Intermediate or higher English level.

Responsibilities:

• Design and fine-tune GPT models on custom datasets to meet specific application requirements using the ChatGPT platform
• Implement transfer learning and other advanced techniques to enhance model performance
• Perform data cleaning, preprocessing, and analysis to prepare training datasets
• Build and manage data pipelines for training and deploying models
• Create and consume APIs for model integration with various applications
• Integrate GPT models with chatbots, web apps, and mobile apps
• Deploy models on cloud platforms ensuring scalability and reliability
• Utilize containerization tools like Docker for scalable deployment
• Work closely with stakeholders to understand requirements and provide technical guidance
• Document code, model usage, and provide clear explanations of technical concepts to non-technical stakeholders

Project description:

We are seeking a skilled Custom GPT Developer to design, fine-tune, and deploy custom GPT (Generative Pre-trained Transformer) models on the ChatGPT platform. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and software development. You will be responsible for the end-to-end development of custom GPT models, from data handling to model deployment, and integration with various applications.

What we offer:

• Healthy workplace environment
• Strong and friendly development team
• Competitive reward
• Compensation for education
• Flexible schedule
• 10 paid vacation days, 4 paid days-off