AI/ML Engineer Intern
Internship Opportunity: AI/ML Engineer Intern – Remote | Kinnovia
1. Job Offering Company Introduction
Kinnovia is an emerging technology company dedicated to solving complex problems using cutting-edge artificial intelligence and machine learning tools. We are a team of engineers, researchers, and innovators committed to building scalable and intelligent digital solutions for the modern world.
Our core strength lies in applying AI/ML to real-world challenges—from natural language processing and computer vision to predictive modeling and decision intelligence. Kinnovia fosters a remote-first, knowledge-driven work culture that values innovation, technical depth, and continuous learning. Our team spans across countries and time zones, united by a shared goal: building systems that learn, adapt, and make an impact.
At Kinnovia, interns are not spectators—they are contributors. We believe in providing our interns with real responsibility, meaningful projects, and the opportunity to work alongside experienced professionals. You won’t just be reading documentation; you’ll be building, experimenting, and learning by doing. If you’re passionate about AI and eager to work in a collaborative environment, this is a great opportunity to kickstart your career in machine learning and artificial intelligence.
2. Job Description
We are currently seeking a Remote AI/ML Engineer Intern for a 3 to 6-month internship. This role is ideal for students or recent graduates who want to deepen their experience with real-world machine learning applications and gain exposure to research and production systems.
Key Responsibilities:
- Train and evaluate machine learning models using modern libraries and datasets
- Perform data preprocessing, cleaning, and feature engineering
- Collaborate on research initiatives and assist in developing AI prototypes
- Experiment with tools like TensorFlow, PyTorch, and Scikit-learn
- Contribute to internal discussions, code reviews, and problem-solving sessions
- Stay up-to-date with the latest trends in AI/ML and apply new techniques to assigned tasks
You will be assigned real deliverables that connect with larger ongoing projects at Kinnovia. Our projects range from smart assistants and document AI to anomaly detection and visual recognition tasks. As an intern, you will be part of our technical team and have access to mentorship, feedback, and growth pathways.
This is a remote role, so you can work from anywhere with a stable internet connection. The internship is flexible but structured, allowing you to balance independent learning with collaborative work.
3. Eligibility Criteria
We are looking for technically curious and self-driven individuals who want to build careers in AI/ML.
Educational Background:
- Students or graduates in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field
Technical Requirements:
- Solid programming skills in Python
- Familiarity with at least one major ML framework (TensorFlow, PyTorch, or Scikit-learn)
- Understanding of basic machine learning algorithms, model evaluation, and performance metrics
- Knowledge of data structures, statistics, and algorithm fundamentals
Preferred Skills (Bonus):
- Experience with NLP, computer vision, or deep learning models
- Participation in machine learning competitions on Kaggle or similar platforms
- Working knowledge of Git and collaborative coding workflows
- Prior academic or independent projects that demonstrate applied learning
Soft Skills:
- Strong communication and documentation skills
- Ability to work independently and meet deadlines
- Willingness to ask questions, take feedback, and improve
- A genuine interest in learning and contributing to ongoing research and development work
We value enthusiasm and a growth mindset over long resumes. If you’ve got the basics and are eager to learn by doing, you’re already a strong candidate.
4. Location
This is a remote internship.
Work from anywhere. A stable internet connection and time availability for regular check-ins are expected.
5. Last Date to Apply
Deadline: July 21, 2025
Applications are reviewed on a rolling basis. We encourage early submission.
6. How to Apply
Send your CV along with any relevant project links (e.g., GitHub, Kaggle, portfolio) to:
Primary Email: careers@kinnovia.com
CC: Ahmed.tawhid@kinnovia.com
Subject Line: AI/ML Engineer Intern Application
Please include a short note introducing yourself, your interest in the role, and your availability.
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