About Websecure AI:

Websecure AI is a forward-thinking company that leverages artificial intelligence to enhance web security. We are focused on creating secure, intelligent, and scalable web applications using cutting-edge AI and machine learning techniques. As part of our growing team, we’re looking for a Machine Learning Intern to help us develop innovative AI solutions that improve the security and performance of web platforms. This internship will provide you with real-world exposure to AI and ML applications in the field of cybersecurity.

Position Overview:

As an AI & Machine Learning Intern, you will work closely with our data science and engineering teams to build and deploy machine learning models, experiment with AI algorithms, and contribute to web security products. This internship offers a unique opportunity to learn and grow in a fast-paced, hands-on environment, while making a direct impact on our product and technology stack.

Key Responsibilities:

Assist in the development and implementation of AI and machine learning models for web security applications

Conduct research to improve machine learning algorithms and optimize model performance

Process and clean large datasets for use in training models

Collaborate with engineers to integrate AI models into existing web security systems

Test and evaluate machine learning models to ensure their effectiveness in solving real-world problems

Support the automation of data pipelines and model deployment workflows

Contribute to code reviews and share insights with the team

Stay up-to-date with the latest trends in AI, machine learning, and web security technologies

Skills & Qualifications:

Strong foundation in machine learning algorithms and AI techniques

Proficiency in Python (preferred), R, or similar programming languages

Familiarity with machine learning frameworks such as TensorFlow, Keras, or PyTorch

Experience with data preprocessing, feature engineering, and model evaluation

Understanding of supervised, unsupervised, and reinforcement learning

Familiarity with cloud platforms (AWS, GCP, Azure) is a plus

Experience with data manipulation libraries (e.g., Pandas, NumPy)

Good understanding of statistics and data analysis techniques

Strong problem-solving abilities and analytical thinking

Ability to quickly learn new concepts and apply them to real-world problems

Excellent communication skills and ability to collaborate in a team environment

Currently pursuing or recently graduated with a degree in Computer Science, Data Science, Mathematics, or a related field

Benefits:

Internship Certificate

Letter of Recommendation

Performance-Based Stipend

Part-time work from home (2-3 hours per day)

5 days a week, fully flexible shift