About the Internship
Nexora Group is seeking motivated and analytical students who are passionate about Data Science, Artificial Intelligence, and Machine Learning. This internship offers hands-on experience working with real-world datasets, AI-driven technologies, predictive analytics, and data visualization techniques.
Interns will gain practical exposure to data analysis workflows, AI-powered solutions, and industry-oriented projects while developing skills that are highly valued in today's technology landscape. Nexora Group focuses on innovation and technology-driven solutions across AI, digital experiences, and emerging technologies.
Key Responsibilities
- Collect, clean, and analyze structured and unstructured datasets.
- Perform Exploratory Data Analysis (EDA) to identify trends and patterns.
- Develop and evaluate Machine Learning models.
- Work with AI and Generative AI tools for data-driven solutions.
- Create dashboards, reports, and visualizations.
- Assist in predictive analytics and business intelligence projects.
- Document findings and present insights to mentors.
- Collaborate with team members on real-world projects.
Required Skills
- Basic knowledge of Python programming.
- Understanding of Data Science and Machine Learning concepts.
- Familiarity with Pandas, NumPy, and data visualization libraries.
- Basic understanding of statistics and data analysis.
- Knowledge of SQL is a plus.
- Strong analytical and problem-solving abilities.
- Passion for Artificial Intelligence and emerging technologies.
Eligibility
- B.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
- Students pursuing Data Science, Computer Science, AI, IT, Mathematics, Statistics, or related fields.
- Freshers and recent graduates are encouraged to apply.
What You Will Learn
✅ Data Analysis & Visualization
✅ Machine Learning Fundamentals
✅ Artificial Intelligence Applications
✅ Generative AI Tools & Techniques
✅ Predictive Analytics
✅ Business Intelligence Concepts
✅ Industry-Oriented Project Development
Benefits
✅ Internship Completion Certificate
✅ Letter of Recommendation (Performance-Based)
✅ Hands-on Industry Project Experience
✅ Professional Mentorship & Guidance
✅ Resume & LinkedIn Profile Enhancement
✅ Portfolio Development Support
✅ Exposure to AI & Data-Driven Technologies

About LetsIntern careers
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Company |
Photon Commerce (http://www.photoncommerce.com">www.photoncommerce.com)
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Title |
Senior engineer
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Commitment |
Full-time. Remote. Starting as soon as possible.
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About the company |
Photon Commerce is the AI platform for finance, invoices, and payments. Photon empowers financial services and eCommerce businesses with computer vision to automate invoices and receipts. Photon turns paper and pdf invoices, receipts, POs, and packing slips into a modern collaboration platform for commerce, preventing problems before they become costly. Backed by the Nasdaq Entrepreneurial Center, its leadership brings experience from eCommerce and SaaS unicorns, Google AI, Y Combinator, Stanford, and 4 exits and an IPO.
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What you will do |
· Build a python/flask app that processes PDFs, images, invoices, and receipts for Quickbooks and Shopify using OCR · Lead a team of 8+ engineers and interns · Create integrations, APIs, webhooks, and payments for the captured structured data · Build a document and invoice collaboration app with embedded chat, like Slack for documents/invoices · Deploy the app into production and own AWS devops · Own the shipped product, including QA
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Experience |
· 5-10 years of experience having launched apps in production with real users in Python, Flask, Django, Javascript, SQL, AWS, and full-stack web development · 1+ years of engineering leadership, including as a team lead, tech lead, or manager · Have repos and/or demos to show your previous work · Knowledge in and/or passion for enterprise SaaS, and AWS devops · Excellent communication, critical thinking, problem-solving, and team skills
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What you’ll receive |
· Join an exciting, high growth startup led by serial entrepreneurs and backed by top tier Silicon Valley investors and billionaire industry leaders in tech · Competitive compensation commensurate with experience and performance
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