AI Data Scientist

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.Job Responsibilities :We are seeking an experienced AI Data Scientist with a specialization in Large Language Models (LLM) to join our team. This role will be playing a crucial role in utilizing LLMs to develop innovative AI solutions and applications. This role involves working on natural language understanding and enhancing prompt engineering capabilities.Essential Duties and ResponsibilitiesDesign, implement, and optimize data pipelines to ensure efficient data ingestion, storage, and processing for training and fine-tuning LLMs, ensuring data quality, consistency, and relevance, via cloud computing technology.Ensure data quality and integrity throughout the pipeline, implementing appropriate data validation and cleansing techniques.Develop AI models using Large Language Models (LLMs) to build AI-driven applications such as chatbots, virtual assistants, and other natural language processing (NLP) solutions.Customize and fine-tune pre-trained LLMs foir specific tasks and domains, ensuring optimal model performance, while enhancing prompt engineering techniques at the same time.Continuously evaluate the performance of LLMs and fine-tuned models, implement optimization techniques to improve their efficiency.Evaluate model performance, perform relevant AB tests, and continuously improve accuracy, efficiency, and scalability.Collaborate with data engineers and analysts, product managers to understand project requirements, deliver AI solutions, and support the integration of AI models into scalable production systems.Stay up-to-date with industry trends and emerging technologies in data science, LLM research, and identify opportunities to apply these advances to improve existing projects.RequirementsAbility to work in fast paced, high pressure, agile environment.Ability and willingness to learn any new technologies and apply them at work in order to stay ahead.Strong in programming languages such as Python, SQL.Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Dockers.Experience using orchestration tools like Airflow or Prefect, distributed computing framework like Spark or Dask.In-depth knowledge of machine learning techniques, Natural Language Processing (NLP), deep learning.Proficiency in working with large-scale datasets, data preprocessing, LLMs fine-tuning, model evaluation, and prompt engineering.Excellent problem-solving and analytical skills, with the ability to translate complex business problems into actionable insights.Excellent written and verbal communication skills for coordinating across teams.Has a Bachelor's, Master’s or PhD degree in computer science or similar discipline.2+ years of experience in AI and data science, with a strong focus on LLMs and NLP.Pre-Requisites :Are you game?