NLP and Python Expert on Contract

Role Responsibilities

• Develop and implement NLP models and algorithms to process large datasets.
• Enhance existing machine learning models to improve performance and accuracy.
• Conduct data preprocessing and feature extraction for various datasets.
• Analyze and visualize data to present insights to stakeholders.
• Stay updated with the latest trends in NLP and machine learning technologies.
• Collaborate with cross-functional teams to define project requirements and objectives.
• Develop and manage APIs for integrating NLP capabilities into applications.
• Perform statistical analysis on data and summarize results effectively.
• Assist in the deployment of machine learning models in production environments.
• Provide technical guidance and mentorship to junior team members.
• Document processes, projects, and findings for transparency and knowledge sharing.
• Conduct experiments to optimize model parameters and enhance performance.
• Participate in code reviews and contribute to a culture of continuous improvement.
• Implement best practices for software development including version control and testing.
• Engage in agile project management practices to ensure timely delivery of projects.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• Proven experience in Natural Language Processing and Python programming.
• Strong knowledge of machine learning frameworks such as TensorFlow or PyTorch.
• Experience with libraries like NLTK, SpaCy, or similar.
• Solid understanding of statistical modeling and data analysis techniques.
• Familiarity with data visualization tools such as Matplotlib or Seaborn.
• Experience in developing APIs and integrating with software applications.
• Strong problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Excellent communication skills, both written and verbal.
• Hands-on experience with version control systems like Git.
• Knowledge of databases and SQL for data manipulation.
• Experience with agile project management methodologies.
• Passion for learning and staying updated with industry trends.
• Experience in software development best practices and testing.