Padmi

Machine Learning

Remote · Delhi NCRPosted 29 days ago
Data Science And StatisticsInternINTERN, FULL TIME
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About the internship: As a machine learning intern at our Cloud Back company, you will have the opportunity to work on cutting-edge projects and gain hands-on experience in the field of artificial intelligence and data science. Your expertise in Python, R programming, data analytics, and natural language processing will be put to the test as you collaborate with our team of experts. Selected intern's day-to-day responsibilities include: 1. Develop and implement machine learning algorithms to improve cloud services' performance. 2. Analyze and interpret data to extract valuable insights and make data-driven decisions. 3. Build and train deep learning models for predictive analytics and pattern recognition. 4. Assist in the development of AI-powered solutions for optimizing cloud infrastructure. 5. Collaborate with cross-functional teams to integrate machine learning capabilities into our products. 6. Stay updated on the latest advancements in machine learning and contribute to research efforts. 7. Present findings and recommendations to stakeholders in a clear and concise manner. If you are passionate about leveraging technology to revolutionize the cloud industry, apply now and join us in shaping the future of cloud computing. 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 3rd Aug'26 and 7th Sep'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₹ 15,000 - 20,000 /month Deadline: 2026-09-02 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: A managed cloud hosting platform where teams can build, deploy, scale, and manage phenomenal websites and applications.

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