🌟 Jupiter is inviting passionate and tech-savvy individuals to join their team as a Machine Learning Intern in Bengaluru. This exciting internship opportunity is ideal for freshers and students currently pursuing their degrees who are eager to build a career in data science, machine learning, and fintech. Jupiter is a next-generation financial services platform leveraging cutting-edge technology to simplify banking and finance for over 2.7 million users. As a Data Science Intern, you’ll be contributing to real-world ML solutions and working in a vibrant, growth-focused culture!
📌 Job Details
🔹 Job Role: Machine Learning Intern (Data Science Intern)
🔹 Qualification: Bachelor’s or Master’s degree (Pursuing)
🔹 Experience: Freshers
🔹 Batch: Recent or Ongoing
🔹 Salary: ₹36,000 Per Month (Expected)
🔹 Location: Bengaluru (Hybrid – Minimum 2 Days in Office)
🔹 Duration: 6 Months
🔹 Last Date to Apply: ASAP
🎓 Eligibility Criteria
✅ Candidates should be currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
✅ Strong foundation in Python programming and machine learning frameworks
✅ Working knowledge of SQL and data handling
✅ Familiarity with supervised and unsupervised learning algorithms
✅ Ability to build and deploy ML models with real datasets
🧠 Job Description
🔸 Design and build data pipelines for large structured and unstructured datasets
🔸 Apply ML algorithms to solve practical fintech challenges
🔸 Work on user profiling, segmentation, and behavioral analytics
🔸 Handle end-to-end lifecycle of machine learning models
🔸 Perform exploratory data analysis (EDA) and derive actionable insights
💡 Why Join Jupiter?
🌈 Jupiter isn’t just another company – it’s a revolution in how people manage money. You’ll be part of a high-impact team building fintech products that matter. At Jupiter, you get:
✨ Hands-on experience in ML projects used by millions
✨ A collaborative and innovation-driven culture
✨ Mentorship from fintech industry leaders
✨ The freedom to pitch your ideas and bring them to life
✨ Access to latest tools and tech in the AI/ML ecosystem
🏢 About Jupiter
Jupiter is a fast-growing fintech startup that reimagines digital banking, payments, investments, and financial wellness through AI and machine learning. With a user base of 2.7M+, Jupiter delivers smart money insights and cutting-edge financial solutions via its seamless mobile platform. Join Jupiter to power the future of finance.
🔄 Selection Process:
📝 Step 1: Resume Screening – Highlight relevant skills and past work
🗣️ Step 2: Interview with Hiring Manager – Role & expectations discussion
🧠 Step 3: Culture Fit Round – Evaluate team compatibility
📃 Step 4: Final Offer – If selected, welcome to Jupiter!
📥 How to Apply?
Interested and eligible candidates can apply online for the Jupiter ML Internship 2025 using the link below:
👉 For More Details & Apply: Click Here
💬 Interview Questions & Answers (ML Intern Role)
Q1. What’s the difference between supervised and unsupervised learning?
🅰️ Supervised learning uses labeled data to train models, while unsupervised learning finds patterns in unlabeled data. Examples: Linear Regression (supervised), K-Means Clustering (unsupervised).
Q2. How do you handle missing data in a dataset?
🅰️ Techniques include removing rows, imputing with mean/median/mode, or using algorithms like KNN imputation depending on the context and size of missing values.
Q3. What are some common performance metrics for classification models?
🅰️ Accuracy, Precision, Recall, F1-Score, and ROC-AUC are key metrics used to evaluate the performance of classification models.
Q4. Explain the concept of overfitting. How do you avoid it?
🅰️ Overfitting happens when a model learns noise in the data. To prevent it, use techniques like cross-validation, regularization (L1/L2), and simpler models.
Q5. How would you deploy a trained ML model in a production environment?
🅰️ Use APIs (Flask, FastAPI), containerization tools (Docker), and deployment platforms (AWS, GCP, Azure) to serve the model securely and efficiently.
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