Job Description

Job Description: An AI intern assists in developing and implementing AI solutions, performing data analysis, and collaborating with experienced AI engineers and data scientists. The role may involve machine learning model development, natural language processing (NLP), computer vision, or other AI-related tasks. Responsibilities: 1. AI Model Development: Assist in building and optimizing machine learning models. Prepare datasets by performing data cleaning and preprocessing. 2. Research and Data Analysis: Research new AI technologies and methodologies. Analyze and process large datasets to uncover meaningful insights. 3. Testing and Evaluation: Assist in testing models to ensure they function as expected. Identify and address potential issues. 4. Collaboration: Work with engineers, data scientists, and other teams to align AI solutions with project goals. 5. Documentation: Document AI experiments, code, and model architectures for future reference and reporting. 6. Language Models: In roles focused on generative AI, assist in designing and fine-tuning prompting strategies and orchestrating agent workflows. Qualifications: Technical Skills: 1. Education: Student or recent graduate in Computer Science, Data Science, Applied Mathematics, or a related field. 2. Programming: Proficiency in Python, with experience using libraries like TensorFlow, PyTorch, scikit-learn, NumPy, and Pandas. 3. Machine Learning: Solid understanding of ML concepts, algorithms, and neural networks. 4. Data Handling: Familiarity with data manipulation, cleaning, and preprocessing techniques. 5. Databases and Cloud Computing: Knowledge of SQL and experience with cloud platforms like AWS, Google Cloud, or Azure is a plus. Soft Skills: 1. Problem-Solving and Critical Thinking: Ability to analyze problems and devise innovative solutions. 2. Communication: Strong verbal and written communication skills. 3. Teamwork and Collaboration: Ability to work well within cross-functional teams. 4. Adaptability and Curiosity: Strong desire to learn and keep up with a rapidly evolving field

Requirements

Education: Student or recent graduate in Computer Science, Data Science, Applied Mathematics, or a related field.

Programming: Proficiency in Python, with experience using libraries like TensorFlow, PyTorch, scikit-learn, NumPy, and Pandas.

Machine Learning: Solid understanding of ML concepts, algorithms, and neural networks.

Data Handling: Familiarity with data manipulation, cleaning, and preprocessing techniques.

Databases and Cloud Computing: Knowledge of SQL and experience with cloud platforms like AWS, Google Cloud, or Azure is a plus.

Problem-Solving and Critical Thinking: Ability to analyze problems and devise innovative solutions.

Communication: Strong verbal and written communication skills.

Teamwork and Collaboration: Ability to work well within cross-functional teams.

Adaptability and Curiosity: Strong desire to learn and keep up with a rapidly evolving field

Key Responsibilities

AI Model Development: Assist in building and optimizing machine learning models. Prepare datasets by performing data cleaning and preprocessing.

Research and Data Analysis: Research new AI technologies and methodologies. Analyze and process large datasets to uncover meaningful insights.

Testing and Evaluation: Assist in testing models to ensure they function as expected. Identify and address potential issues.

Collaboration: Work with engineers, data scientists, and other teams to align AI solutions with project goals.

Documentation: Document AI experiments, code, and model architectures for future reference and reporting.

Language Models: In roles focused on generative AI, assist in designing and fine-tuning prompting strategies and orchestrating agent workflows.