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.