Internship

Job Summary

Responsibilities

• Collaborate with cross-functional teams to gather requirements and deliver generative AI solutions.
• Assist in developing, fine-tuning, and deploying machine learning models using Python and deep learning frameworks like TensorFlow and PyTorch.
• Perform data extraction, manipulation, and analysis using SQL and Pandas.
• Contribute to model deployment by developing backend solutions in JavaScript (Node.js) and integrating with web applications.
• Conduct data pre-processing and visualization using Python and R.
• Optimize code for performance and efficiency, using C++/C and Rust where necessary.
• Create project documentation and assist in code testing, debugging, and optimization.
• Support AI model performance monitoring, versioning, and improvement based on feedback.
  

Qualifications

• Education: Currently pursuing or recently graduated with a degree in Computer Science, Data Science, Information Technology, or a related field.
• Knowledge of Programming Languages:
• Python: Proficiency with libraries such as TensorFlow, PyTorch, Pandas, and NumPy.
• SQL: Familiarity with SQL for data manipulation and retrieval.
• JavaScript: Basic experience with Node.js for backend and API integration.
• C++/C or Rust: Knowledge of these languages is a plus for performance optimization.
• Shell Scripting (Bash): Basic scripting skills for environment setup and workflow automation.
  

Preferred Skills And Competencies

• Analytical and Problem-Solving: Strong analytical skills with attention to detail and problem-solving capabilities.
• Communication: Ability to convey complex ideas effectively and work within a team environment.
• Curiosity and Learning Mindset: Willingness to explore new tools, frameworks, and AI advancements..