LLM Data Scientist

Industry: Pharma
Company size: 251-10K

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Job description

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

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