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DiFACTO Robotics and Automation
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Chandigarh · On-site · ₹2 LPA · 0-1 Yrs · Oct 9
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1 open role0 posted in 7d1 in 30d
Job description
Overview
DiFACTO Robotics and Automation has an open Machine Learning Intern (Manufacturing & Quality) position in Chandigarh for motivated freshers and final-year students.
Responsibilities
- Work on predicting defects and downtime from production and sensor data alongside the core team
- Use Python, Time-Series & Sensor Data, Anomaly Detection, Predictive Maintenance, Scikit-Learn on live, production-facing problems
- Turn your work into clear documentation, notes or decks for reviewers
- Take part in reviews and act on the feedback you receive
- Collaborate across functions — engineering, product, design or business as the work demands
- Follow the team's quality, testing and documentation standards
- Track and report your own progress against an agreed plan
Qualifications
- Education: B.E./B.Tech (Mechanical / Electrical / Production / CSE), M.Tech or M.Sc
- Graduating batch: 2025, 2026 or 2027 — final-year students and recent graduates are both eligible
- Academics: 60% / 6.0 CGPA and above preferred; consistent academics help, but a strong project or portfolio is weighed alongside marks
- Technical skills: Python, Time-Series & Sensor Data, Anomaly Detection, Predictive Maintenance, Scikit-Learn
- Also useful: Statistical Process Control, Feature Engineering, Data Visualisation, MES / SCADA Data, Domain Collaboration
- Soft skills: clear written and spoken English, ownership of your work, comfort asking questions, and the discipline to check your own work before you ship it
- Experience: none required — this is a fresher internship. Academic projects, certifications, GitHub work or a previous internship strengthen an application but are not mandatory
- Location: based in Chandigarh, Chandigarh or willing to work from there for the internship period
- Joining date: immediate / rolling — selected candidates usually start within 4-6 weeks of accepting the offer, and start dates can be adjusted around end-semester exams
- Working hours: Monday to Friday, standard business hours (about 8-9 hours a day) at the office
- Duration: 3 months, with a certificate issued on successful completion
- Documents at joining: college ID or degree certificate, a government photo ID, and a No-Objection Certificate from your college where your programme requires one
- Equipment: a workstation, software licences and all tool access are provided at the office — you do not need to bring your own machine
- Bond: no bond and no service agreement is attached to this internship
- Fees: DiFACTO Robotics and Automation and MyInternships.in never charge a candidate any fee at any stage of the application, selection or onboarding process. Report anyone who asks you for money in the name of this internship
- required — this is a fresher-friendly internship; Based in Chandigarh, Chandigarh or willing to work from there for the internship period.
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Job application FAQ
Last updated 21 October 2026
- How do I apply for Machine Learning Intern (Manufacturing & Quality) at DiFACTO Robotics and Automation?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. DiFACTO Robotics and Automation may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning Intern (Manufacturing & Quality) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Intern (Manufacturing & Quality) remote or on-site in Chandigarh?
- This listing is marked on_site with location Chandigarh. Confirm details on the job description before applying.
- What skills matter for this Machine Learning Intern (Manufacturing & Quality) role at DiFACTO Robotics and Automation?
- This is a entry-level / fresher Machine Learning Intern (Manufacturing & Quality) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.