Machine Learning Engineer

Machine Learning

Company: Nexal IIT

Location: Remote, India

Job Type: Internship

Duration: 3 Months

Expected Start Date: 1 September 2026

Application Deadline: 29 August 2026

Working Hours: Flexible hours

Compensation: Paid

About the Role

Nexal IIT is seeking a Machine Learning Intern to support machine learning model development, data preprocessing, model evaluation, and data-driven solution development.

The selected intern will work on assigned machine learning tasks and projects under the guidance of the team. This opportunity is intended for candidates who want to develop practical experience in applying machine learning concepts to real-world datasets and business problems.

Key Responsibilities

• Collect, clean, preprocess, and prepare datasets for machine learning projects.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships.
• Assist in selecting appropriate machine learning algorithms for different problems.
• Develop, train, test, and evaluate basic machine learning models.
• Work with supervised and unsupervised learning techniques.
• Perform feature engineering and feature selection where appropriate.
• Evaluate model performance using relevant metrics and validation techniques.
• Assist in improving model performance through parameter tuning and optimization.
• Use Python and libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.
• Create visualizations and reports to communicate model results and insights.
• Document experiments, methodologies, assumptions, results, and findings.
• Assist with machine learning projects and data-driven solutions under team guidance.

Requirements

• Basic understanding of Machine Learning concepts.
• Familiarity with Python programming.
• Basic knowledge of statistics and probability.
• Understanding of fundamental supervised and unsupervised learning algorithms.
• Familiarity with Pandas, NumPy, and Scikit-learn is preferred.
• Basic knowledge of data preprocessing and feature engineering.
• Understanding of model evaluation metrics is an advantage.
• Familiarity with Matplotlib or Seaborn for data visualization is preferred.
• Basic understanding of SQL is an advantage.
• Familiarity with Generative AI or deep learning concepts is a plus.
• Good analytical and problem-solving skills.
• Good written and verbal communication skills.
• Willingness to learn and work on assigned machine learning tasks.

Work Arrangement

• Location: Remote, India
• Internship Type: Full Time
• Travel Requirement: No travel required
• Relocation: Not required

What You Will Gain

• Practical experience working on real-world machine learning projects.
• Experience with data cleaning, preprocessing, and exploratory data analysis.
• Hands-on exposure to machine learning algorithms and model development.
• Practical experience with model training, evaluation, and optimization.
• Experience using Python and commonly used machine learning libraries.
• Exposure to feature engineering and data-driven problem solving.
• Experience documenting and communicating machine learning results.
• Opportunity to develop technical, analytical, and problem-solving skills through assigned machine learning projects.

Selection Process

Candidates may be evaluated based on their application, relevant technical skills, machine learning knowledge, project experience, and suitability for the internship.

How to Apply

Interested candidates should apply through LinkedIn before 29 August 2026.

Please submit your details on our career page, and our team will reach out to you.

Expected Start Date:1 September 2026