Machine Learning and Deep Learning Trainee

About the Role

This is an UNPAID internship.

Krunalkumar Shah is a remote-first consultancy specializing in cybersecurity, AI, and workflow automation. Internships and trainee roles focus on real production projects.

Role Description

The AI & Machine Learning Trainee will work full time in a remote setting, supporting the design, experimentation, and deployment of AI and ML solutions for automation, cybersecurity insights, and client-facing tools.

Key Responsibilities

• Researching ML and deep learning methods.
• Implementing and testing models.
• Analyzing datasets.
• Collaborating on workflow automation using tools such as custom AI agents and internal applications.
• Writing clean, documented code.
• Contributing to model evaluation and performance tuning.
• Assisting with integrating ML components into production systems.
• Learning from real client projects.
• Participating in technical discussions.
• Producing concise technical notes or documentation.

Requirements & Tech Stack

• Familiarity with Python or similar languages.
• Familiarity with common ML libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch).

Qualifications

• Strong foundation in Computer Science, including data structures, Algorithms, and software engineering principles.
• Knowledge of Machine Learning and Deep Learning concepts, including model training, evaluation, and deployment.
• Understanding of Statistics and probability.
• Ability to learn independently, work remotely in a structured manner, and collaborate using online tools.
• Clear written and verbal communication skills for technical documentation and team discussions.
• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field (or equivalent practical experience).
• Interest in cybersecurity, workflow automation, and applied AI for real-world client problems is highly beneficial.