AI ENGINEER INTERN

Overview

About the Organization

Conversly AI Private Limited is a dynamic technology company focused on transforming customer
engagement and accelerating business growth through intelligent, data-driven conversational systems. We design and deploy AI-powered chatbots, automated communication workflows, CRM-integrated engagement systems, and advanced analytics dashboards for performance tracking. By combining Artificial Intelligence and real-time analytics, our solutions help enterprises improve customer interaction quality, optimize
conversion funnels, and reduce manual operational effort. Ultimately, Conversly AI enables organizations to
operate smarter, scale faster, and build more meaningful customer relationships.

**** Position Overview****

We are looking for a motivated AI Engineer Intern to join our innovative team at Conversely. This hands-on role offers a fantastic opportunity to apply your academic knowledge to real-world AI projects, developing and optimizing intelligent solutions. You will contribute directly to core initiatives, refining your skills and gaining practical experience in a professional setting. While this is a remote internship, the candidate is required to visit our office on alternate Saturdays for collaborative sessions, project discussions, and team synergy.

Key Responsibilities

• Develop and implement components of AI models and data processing pipelines.
• Contribute to the pre-processing, feature engineering, and analysis of large datasets.
• Assist in training, evaluating, and fine-tuning machine learning models for specific tasks.
• Conduct preliminary testing, debugging, and performance analysis of AI systems.
• Document technical specifications, project progress, and research findings.

Required Skills

• Proficiency in Python programming and experience with relevant libraries (e.g., NumPy, Pandas,
Scikit-learn).
• Solid understanding of machine learning principles, algorithms, and data structures.
• Experience with at least one major AI/ML framework (e.g., TensorFlow, PyTorch) is a plus.
• Basic problem-solving and analytical skills with an ability to interpret data.
• Ability to work independently and collaboratively within a team environment.
• Currently pursuing a Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a
closely related quantitative field.