Machine Learning Intern

Company Description: Adorebits Technology is a global digital solutions company specializing in advanced AI, Machine Learning, Blockchain, Cloud, Data Analytics, Big Data, ERP, and CRM services for clients in more than 52 countries. The company is an official Technology Development Partner of the European Chamber of Commerce (EUCC) – Malta for Distributed Ledger Technologies and Cryptocurrencies, and holds CMMI Level 3, ISO 9001, and ISO 27001 certifications that demonstrate strong quality and security standards. Recognized among India’s Fast Growing Hot 100 Innovative Technology Companies and partnered with the Chartered Institute of Marketing (CIM), UK, Adorebits has also been featured in prominent publications such as Economic Times, Entrepreneur, and YourStory. With over a decade of experience, Adorebits helps businesses innovate through AI/ML, Blockchain & Web3, Cloud, Data Analytics, and end-to-end digital product development, using flexible engagement models tailored to client needs.

Role Description: This is a remote internship role for a Machine Learning Intern. The intern will support the design, development, and evaluation of machine learning and deep learning models for real-world business problems. Daily tasks include collecting and preprocessing data, implementing algorithms, running experiments, and analyzing model performance under the guidance of senior engineers. The intern will help document methodologies, prepare technical reports or presentations, and collaborate with cross-functional teams to integrate ML components into existing products and solutions. The role also involves staying current with relevant research, tools, and frameworks to contribute to the continuous improvement of Adorebits’ AI and ML offerings.

Qualifications:

• Strong foundation in Computer Science and Algorithms, with the ability to write clean, efficient, and well-documented code.
• Applied knowledge of Machine Learning techniques, including model training, evaluation, and optimization.
• Understanding of Deep Learning concepts and familiarity with common neural network architectures and frameworks.
• Solid grasp of Statistics for data analysis, hypothesis testing, and interpreting model results.
• Experience with Python or similar programming languages, and ML libraries such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with data processing tools (e.g., NumPy, Pandas) and version control systems such as Git.
• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
• Strong analytical thinking, attention to detail, and the ability to work independently in a remote, collaborative environment.

If interested, please share CV at [email protected]