AI/ML Intern

Key Responsibilities:

• Assist in the design, development, and deployment of AI solutions utilising machine learning, natural language processing (NLP), and computer vision techniques.
• Collaborate with cross-functional teams, including data scientists and software engineers, to seamlessly integrate AI solutions into existing products and services.
• Support data collection, processing, and automation tasks to enhance and refine AI models.
• Contribute to the testing, debugging, and optimisation of AI solutions to ensure high-quality, reliable outcomes.
• Stay abreast of the latest trends in AI and machine learning, continuously integrating new advancements to improve solutions.

Requirements

• Educational Background: A degree in Computer Science, AI, Machine Learning, or a related technical field. Fresh graduates are encouraged to apply.
• Programming Knowledge: Basic proficiency in Python, with familiarity in AI/ML frameworks.
• API Integration Skills: Knowledge of Fast API and an understanding of how to integrate APIs with other platforms (or a willingness to learn).
• API & Automation: Familiarity with Fast API architecture, database management (MySQL, Chrome DB/Pinecone), and automation tools.
• Machine Learning Proficiency: Experience with data preprocessing, feature engineering, and model evaluation techniques essential for AI/ML projects.
• Problem-Solving: A creative mindset focused on solving technical challenges.
• Team Player: Strong communication skills with the ability to collaborate effectively within a team.
• AI & NLP Familiarity: Exposure to working with LLMs, VLMs, or related techniques (such as transformers and deep learning models).
• Transformers Knowledge: Basic understanding of transformer models and how they are applied in LLMs and VLMs (e.g., BERT, GPT, CLIP).

Preferred Qualifications:

• Internship experience in AI, machine learning, NLP, or computer vision.
• Hands-on experience with AI projects (personal or academic), especially those involving LLMs, VLMs, or transformers.
• Contribution to open-source AI projects or participation in AI competitions is a plus.

Benefits

• Quarterly rewards based on roadmap achievements and customers' success.
• 20 Yearly leaves.
• 14 National Holidays Off.
• Cross-team work culture.
• Career Development & Training Programs.
• Employee Referral Benefits.
• Birthday/Anniversary/Festival Celebrations.
• Compensatory Off-Benefits.
• Paid half-day leaves on special occasions of Birthdays & anniversaries.
• Meals while working extra.
• Yearly day-outing activities.
• Yearly Achievement Awards.