LLM Data Scientist

A well-established pharmaceutical giant that has continuously delivered constant transformative products and services for over a century, is looking for an LLM Data Scientist. The selected candidate will be responsible for successfully converting business requirements into scalable, user-facing features. The NYSE-listed company’s range of healthcare products has efficiently catered to the needs of a global customer base. This is a great opportunity for candidates who are passionate about working with a multinational corporation and climbing up the corporate ladder. 

Job Responsibilities:

• Showcase an openness to learning and sharing
• Contribute to the architecture, design, and execution of data engineering solutions while creating data pipelines and solutions
• Help to develop solutions, support them, and put them into practice
• Take charge of the database system design, development, implementation, and optimization

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as an LLM Data Scientist
• Demonstrable experience with NLP (Natural Language Processing) and Python frameworks
• Prolific experience working with Pytorch or Tensorflow/Keras
• Extensive experience with HuggingFace, sci-kit-learn, Pandas, and XGBoost
• Prior experience using GitHub or similar Git-based version control tools
• Solid understanding of Linux/terminal environment and CLI patterns
• In-depth knowledge about employing and securing NLP-based solutions, including classification, entity extraction, training, and parameter optimization
• Strong grasp of coding, especially modular design, algorithms, and comments
• Nice to have some knowledge of Langchain and other LLMOps packages
• Prior experiment tracking with frameworks such as MLFlow is preferred
• Experience with VectorDBs is desirable
• Strong knowledge of relational databases, data warehouses, operational data stores, in-memory databases, SQL, and NoSQL technologies and concepts is preferable 
• Great technical skills or familiarity with cloud computing platforms like AWS or Azure is nice to have
• Prior experience in front-end frameworks like Streamlit is desirable
• Familiarity with React/Angular and API integration is nice to have
• Excellent English communication skills, both conversational and written