• Experience: 8+ years of professional experience in data science, machine learning, and deep learning, with a strong focus on NLP and data pipeline development.
  • Technical Skills:
    • Proficiency in programming languages such as Python, R, or Scala.
    • Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
    • Experience with NLP techniques and tools (e.g., spaCy, NLTK, Transformers).
    • Strong knowledge of data pipeline tools and technologies (e.g., Apache Spark, Airflow, Kafka).
    • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and their machine learning services.
  • Analytical Skills: Exceptional problem-solving skills with a demonstrated ability to derive insights from complex datasets.
  • Communication: Excellent verbal and written communication skills, with the ability to present technical concepts to non-technical stakeholders.
  • Leadership: Proven track record of leading projects and mentoring team members.

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