AI Model Developer
4 weeks ago
We are seeking an experienced AI Model 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.
Key ResponsibilitiesThe successful candidate will be responsible for:
- Model Development: Retraining and fine-tuning existing Large Language Models (LLMs) using proprietary datasets to meet specific business requirements.
- Data Integration: Collaborating with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs.
- Model Evaluation: Designing and executing experiments to evaluate model performance, accuracy, and scalability, using metrics relevant to the business.
- Optimization: Implementing model optimization techniques to improve efficiency, reduce latency, and enhance model scalability.
- Collaboration: Working with cross-functional teams, including product managers, data scientists, and software engineers, to align AI solutions with business goals.
- Deployment: Assisting in deploying LLMs into production environments, ensuring robust and scalable AI solutions.
The ideal candidate will possess:
- 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: A 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).
- A 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 include experience in retraining LLMs on various datasets, conversational AI, Python, and Docker.
Preferred skills include 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, and prior experience in working with proprietary or sensitive data.
What We OfferWe offer a competitive salary based on experience and expertise, opportunities for career development, including access to the latest AI research and technologies, flexible work environment options, and an innovative culture that values creativity, collaboration, and innovation.
Interested candidates are invited to submit their resume, a cover letter, and any relevant project portfolios.
We specialize in building marketplace mobile and web apps, working with a vast range of technology stacks.
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