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Senior Data Scientist Role

We are seeking a Senior Data Scientist to lead end-to-end ML projects, explore and implement state-of-the-art research in ML and Generative AI, and build and optimize deep learning and machine learning models for complex business challenges.

  • This role requires 5–7 years of experience in Data Science/Machine Learning roles.
  • A strong foundation in statistics, probability, and core ML algorithms (Regression, Decision Trees, Gradient Descent, SVMs, etc.) is essential.
  • Proficiency in Python and frameworks like Scikit-learn, TensorFlow, Keras, PyTorch is required.
  • Hands-on experience with transformer architectures and Large Language Models (LLMs) is necessary.
  • Familiarity with tools like Langchain or LlamaIndex for LLM-based applications is a plus.
  • The ability to convert theoretical research into production-ready solutions is crucial.

About This Role

Data Science Expertise

  • Design and develop predictive models using Machine Learning algorithms.
  • Analyze large datasets to extract insights and drive business decisions.

Key Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
  • Strong understanding of programming languages such as Python, R, or Julia.
  • Experience with data visualization tools like Matplotlib, Seaborn, or Plotly.
  • Ability to work collaboratively in a team environment.

Benefits

  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.
  • Competitive salary and benefits package.