Website MediNex

MediNex Workforce Machine Learning Internship 2026: Remote Program

Opportunity Overview

Attribute Details
Organisation MediNex Workforce
Role Title Machine Learning Intern
Location / Work Model 100% Remote (India)
Program Duration 1 – 3 Months
Employment Type Full-Time Internship
Stipend ₹16,900 / month
Application Deadline July 27, 2026
Target Audience Students & recent graduates in CS, Data Science, or related quantitative fields
Application Fee Free

Program Framework & Role Scope

MediNex Workforce provides practical industry exposure, focusing on machine learning workflows across data engineering, model development, and experimentation:

[Data Cleaning & Preprocessing] ➔ [Model Training & Tuning] ➔ [Pipeline & Deployment Support] ➔ [Documentation & Reporting]

Core Responsibilities

  • Data Engineering & Preprocessing: Collect, clean, and preprocess raw datasets to ensure data quality for ML training tasks.

  • Model Development & Experimentation: Support the design, training, and evaluation of algorithms (Regression, Classification, Clustering) and fine-tune hyperparameters for optimization.

  • Pipeline Building: Assist in developing structured pipelines for dataset preprocessing and initial model deployment workflows.

  • Experiment Documentation: Maintain clear documentation of experiment setups, performance metrics, and model evaluation outcomes for team reference.

Candidate Eligibility & Skills Matrix

Category Skill Set & Tooling
Academic Background • Enrolled in or recently completed a Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related technical disciplines
Core Technical Skills

• Programming Languages: Python


• ML & Data Libraries: Scikit-learn, TensorFlow, or PyTorch


• Core Fundamentals: Understanding of supervised and unsupervised machine learning algorithms
Personal & Professional Attributes

• Strong analytical, logical reasoning, and problem-solving abilities


• Hardware setup: Personal computer/laptop and reliable high-speed internet connection

Selection Workflow & Timeline

[Online Application Submission] ➔ [Resume & Profile Screening] ➔ [Technical Assessment / Interview] ➔ [Onboarding]

  1. Application Submission: Submit your details and resume through the application portal prior to July 27, 2026.

  2. Profile Screening: Evaluation based on academic status, Python proficiency, and foundational ML knowledge.

  3. Technical Interview & Discussion: Review of core ML concepts, past projects, and problem-solving approach.

  4. Offer & Remote Onboarding: Final selection, offer issuance, and project allocation for the remote internship.

To apply for this job please visit remotejobhiring.com.