Description

Responsibilities:

  • Design, train, fine-tune, and evaluate LLMs for a wide range of business use cases
  • Collect, clean, and preprocess large-scale textual and structured datasets
  • Optimize prompts and models for performance, accuracy, and relevance
  • Collaborate with engineering and product teams to integrate models into production
  • Communicate insights effectively to technical and non-technical stakeholders
  • Stay current on the latest advancements in GenAI and NLP
  • Mentor junior data scientists and contribute to team development

Qualifications:

  • Master’s or Ph.D. in Computer Science, NLP, Machine Learning, or related field (preferred)
  • 8+ years of experience in data science, with a strong focus on NLP and deep learning
  • Hands-on experience developing and deploying LLM-based solutions in production
  • Proficiency in Python, PyTorch, TensorFlow, and modern NLP/ML frameworks
  • Familiarity with cloud platforms such as Azure and Databricks
  • Experience with data visualization tools (e.g., Tableau, ThoughtSpot)
  • Strong communication, collaboration, and problem-solving skills

Education

Master’s or Ph.D. in Computer Science, NLP, Machine Learning