Newtons Lab launches a FREE Remote Machine Learning Engineer Internship, perfect for students and freshers looking to gain hands-on AI/ML experience working from home. This fully remote opportunity offers a competitive stipend of ₹15K-25K per month, real-world projects, and a potential job offer up to ₹18 LPA, with applications open until 2 February 2026. Ideal for B.Tech/BCA students passionate about AI, data processing, and machine learning deployment, this internship provides the skills employers seek in 2026’s competitive tech market.
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Program Overview
Newtons Lab’s Machine Learning Engineer Internship stands out as a 100% remote, stipend-paying opportunity focused on practical AI implementation rather than theoretical learning. Hosted through platforms like Cuvette and Newton School ecosystems, it targets early-career talent ready to contribute to live ML projects.
Key highlights:
- Duration: 3-6 months (flexible based on project milestones).
- Location: 100% Work From Home (WFH) across India.
- Stipend: ₹15,000–₹25,000/month based on performance.
- Perks: Certificate, GitHub portfolio projects, PPO potential (₹18 LPA CTC).
- Start Date: Rolling admissions; immediate onboarding post-selection.
This program connects directly to Newton School of Technology’s (NST) robust tech ecosystem, known for placing interns at companies building AI-powered supply chain automation and advanced study tools.
Role Responsibilities for Remote Machine Learning Engineer Internship
As a Machine Learning Engineer Intern at Newtons Lab, you’ll work on production-grade AI systems alongside experienced engineers. The role emphasizes end-to-end ML workflows, from data processing to model deployment.
Core Responsibilities:
- Build and optimize ML models using Python, TensorFlow, PyTorch, or Scikit-learn.
- Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
- Deploy models via Docker, Flask APIs, or cloud platforms (AWS/GCP).
- Collaborate on real client projects involving predictive analytics, NLP, or computer vision.
- Document code, create dashboards, and contribute to production ML pipelines.
Expect 20-30 hours/week with daily standups via Slack/Discord. Projects mirror industry challenges like “AI compliance engines” or “automated supply chain optimization” seen in NST partner companies.
Eligibility and Required Skills
Newtons Lab seeks candidates with foundational ML knowledge and coding proficiency. No prior internship experience required—strong projects matter more.
| Requirement | Details |
|---|---|
| Education | B.Tech/B.E./BCA/M.Tech (CSE/IT/AI/ML streams), 2026-2028 batches |
| Skills | Python, ML libraries (Scikit-learn/PyTorch), Data Processing, SQL |
| Nice-to-Have | Git/GitHub, Docker, Cloud basics, Kaggle competitions |
| Assessment | Online coding test + ML case study + technical interview |
Freshers with 2-3 strong GitHub projects (e.g., sentiment analysis, image classification) get priority. Women candidates and tier-2/3 college students actively encouraged.
Stipend Structure and Career Benefits
Unlike “free certificate-only” programs, Newtons Lab pays competitively while building job-ready skills.
Compensation:
- Month 1: ₹15K (learning phase).
- Month 2+: ₹20K-25K (based on project delivery).
- PPO Potential: Full-time Machine Learning Engineer (₹12-18 LPA CTC).
Career Advantages:
- Portfolio Impact: 3-4 production-grade ML projects for LinkedIn/GitHub.
- Tech Stack Exposure: Industry tools (MLflow, Weights & Biases, Ray Tune).
- Network: Connect with NST alumni at AI startups building shipping compliance engines and GenAI tools.
- Placement Support: Direct referrals to hiring partners post-internship.
Top performers convert to full-time roles; past NST interns work with React/Node.js + ML infra at scale.
Selection Process
4-Stage Hiring (apply early—spots fill fast):
- Application: Submit resume + GitHub + 1 ML project link by 2 Feb 2026.
- Online Assessment: 90-min test (Python ML problems, SQL, DSA).
- Technical Round: Live coding + ML case study (model selection, evaluation metrics).
- HR Interview: Culture fit + project discussion.
Pro Tips:
- Build a Kaggle notebook solving business problems (churn prediction, demand forecasting).
- Showcase GitHub repos with proper READMEs and model performance metrics.
- Prepare system design questions: “Scale ML inference for 1M daily predictions.”
Results within 7 days; fastest onboarding for high performers.
Why Newtons Lab ML Internship?
In India’s crowded ML job market, this opportunity offers paid remote experience + startup velocity:
vs. Academic Projects:
| Feature | Newtons Lab | College Projects |
|---|---|---|
| Real Data | Production datasets | Synthetic/Kaggle |
| Mentorship | Industry engineers | Professors |
| Compensation | ₹15-25K/month | Zero |
| Deployment | Live APIs | Jupyter notebooks |
vs. Other Remote Internships:
- Paid (unlike “free certificate” programs).
- ML-focused (not generic “AI/ML” with 10% ML work).
- Newtons/NST Backing—credible for FAANG/MNC applications.
Perfect for students targeting SDE-ML, Data Scientist, or AI Engineer roles at ZS Associates, Fractal Analytics, or product startups.
Success Stories from Newton Ecosystem
NST interns consistently land high-impact roles:
- “Built AI shipping compliance engine at Mstack—now full-time ML Engineer.”
- “React + Node.js ML infra experience led to GenAI startup offer.”
- ” NST coding competitions → Smart India Hackathon → ML internships.”
Newtons Lab extends this pedigree to remote ML talent nationwide.
How to Apply?
If you are an Interested Candidate, you can apply for the Free Remote Machine Learning Engineer Internship by Newtons Lab [Work From Home] Apply by 2 Feb 2026 Click Here.