Website:
medinexworkforce.in
Job details:
Machine Learning Intern (Python, Machine Learning, Predictive Analytics)
Medinex Workforce is seeking a Machine Learning Intern to support data-driven projects involving model development, experimentation, and predictive analysis. This opportunity is suitable for candidates who want to strengthen their understanding of machine learning by applying concepts to practical technical assignments in a remote environment.
Job Type: Full-Time Internship
Work Mode: Remote
Duration: 1–3 Months
Stipend: ₹15,500 per month
Key Responsibilities
* Prepare and preprocess datasets for machine learning tasks
* Assist with feature selection and basic feature engineering
* Support the development and testing of machine learning models
* Evaluate model outputs using appropriate performance metrics
* Conduct exploratory analysis to understand relationships within datasets
* Record experiment results, observations, and model configurations
* Assist with improving models based on evaluation results
* Collaborate with technical team members on data-focused projects
Qualifications
* Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field
* Basic understanding of machine learning concepts
* Working knowledge of Python is preferred
* Familiarity with Pandas, NumPy, or Scikit-learn is an advantage
* Academic or personal machine learning projects are welcome
Skills
* Analytical and quantitative reasoning
* Logical approach to technical problems
* Curiosity and experimentation mindset
* Attention to data quality and accuracy
* Problem-solving and debugging ability
* Clear communication and documentation skills
What You Can Expect
* Practical exposure to machine learning workflows
* Experience with data preparation, model evaluation, and experimentation
* Opportunity to contribute to structured AI and analytics projects
* Guidance from experienced technical professionals
* Internship certificate subject to successful completion of the internship
Click on Apply to know more.