We are a leading technology company committed to innovation, and we are expanding our team of talented professionals. We are looking for an experienced Generative AI (GenAI) Data Scientist to play a key role in the development and deployment of cutting-edge GenAI models. In this position, you will specialize in fine-tuning Generative Pre-trained Transformers (GPTs) using the Retrieval-Augmented Generation (RAG) method to solve real-world challenges and enhance the capabilities of our AI systems.

Key Responsibilities

1. Collaborative Development. Work alongside engineers and researchers to design, build, and implement GenAI models across various applications.
2. End-to-End Model Lifecycle. Take part in every phase of the GenAI lifecycle, including data collection, pre-processing, model training, evaluation, and deployment.
3. Model Fine-Tuning. Focus on fine-tuning pre-trained models, particularly GPT-based architectures, utilizing the RAG method to adapt models for specific tasks and domains.
4. Performance Evaluation. Design and implement evaluation metrics that assess the quality, effectiveness, and fairness of GenAI models.
5. Real-World Alignment. Collaborate with domain experts to ensure that generated outputs are aligned with real-world requirements and business goals.
6. Continuous Learning. Stay abreast of the latest advancements in GenAI research and share knowledge within the team to drive continuous innovation.

Required Qualifications

1. Educational Background. Bachelor’s and Master’s degree in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience).
2. Experience. Minimum 2+ years working with AI, particularly in Generative AI models, with a focus on text-based generation.
3. Technical Expertise
   1. Strong understanding of deep learning architectures, especially transformers like GPT-n.
   2. Proven experience in fine-tuning pre-trained models, especially using the RAG approach.
   3. Proficiency in Python, and experience with AI frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
4. Data Expertise. Experience with data analysis, manipulation, and visualization tools and techniques.
5. Communication Skills. Strong communication and collaboration skills to work effectively in a cross-functional team.
6. Innovation Drive. A passion for AI innovation and a commitment to pushing the boundaries of what's possible.

Preferred Skills

1. Real-World GenAI Deployment. Experience in working on real-world GenAI projects, deploying models to production environments.
2. Fairness & Bias Awareness. Understanding of fairness and bias considerations in the development of AI systems.
3. Cloud Knowledge. Familiarity with Azure stack for cloud-based AI model deployment.

Why Join Us?

At our company, you will be part of a dynamic team that thrives on collaboration, innovation, and continuous growth. As a Generative AI Data Scientist, you will have the opportunity to influence the future of AI technologies, work with cutting-edge tools, and contribute to impactful projects in an ever-evolving field. Join us to make a real difference in the world of AI!