Machine Learning Internship

As a Machine Learning intern at Qubixo, you will have the opportunity to work with cutting-edge technologies and contribute to impactful projects. We are looking for someone who is proficient in Python, data analytics, machine learning, R Programming, data science, Natural Language Processing (NLP), deep learning, and artificial intelligence.

Selected intern's day-to-day responsibilites include: 1. Collaborating with our team to develop and implement machine learning models 2. Conducting research on new algorithms and techniques to improve our existing models 3.

Analyzing and interpreting complex data sets to extract valuable insights 4. Building and testing prototypes to showcase the potential of machine learning applications 5.

Assisting in the deployment and maintenance of machine learning solutions 6. Contributing to the development of new features and enhancements for our products 7.

Staying up-to-date with the latest trends and advancements in machine learning and artificial intelligence. If you are passionate about machine learning and eager to gain hands-on experience in a dynamic environment, this internship is perfect for you.

Join us at Qubixo and take your skills to the next level! Who can apply: Only those candidates can apply who: • are available for the work from home job/internship • can start the work from home job/internship between 8th Sep'26 and 13th Oct'26 • are available for duration of 3 months • have relevant skills and interests • * Women wanting to start/restart their career can also apply.

Stipend: INR₹ 10,000 - 20,000 /month Deadline: 2026-10-08 23:59:59 Other perks: Certificate, Letter of recommendation, Flexible work hours, 5 days a week Skills required: Python, Data Analytics, Machine Learning, R Programming, Data Science, Natural Language Processing (NLP), Deep Learning and Artificial intelligence About Company: Qubixo is a dynamic IT services and solutions company dedicated to helping businesses evolve and thrive in the digital era.

We specialize in delivering end-to-end technology services, from custom software development and cloud solutions to IT consulting, digital transformation, and managed services.