Machine Learning Intern – Model Training & Performance Lab

Machine Learning Intern – Model Training & Performance Lab

SkillFied Mentor | Remote | Flexible Engagement

hands-on, production-oriented ML capabilities

Role Overview

As a Machine Learning Intern, you will work across the full ML lifecycle—data preparation, model selection, training, tuning, evaluation, and reporting. You will collaborate with mentors to refine your technical approach, optimize model accuracy, and generate insights that align with real-world deployment standards.

Key Responsibilities

• Build and train ML models using supervised and unsupervised algorithms
• Execute preprocessing, feature engineering, and comparative model experimentation
• Optimize ML pipelines for accuracy, performance, and reliability
• Analyze model outputs and contribute to actionable insights
• Document methodologies, results, and improvement strategies

What This Internship Offers

• Remote-first, flexible engagement structure

• Unpaid internship

  focused on deep technical capability building
• Hands-on execution of

  real-time ML capstone projects

  mirroring industry workflows
• Mentor-guided support to strengthen modelling logic, debugging skills, and analytical clarity

Performance Advantages

• Top performers receive 100% placement assistance

  , including ML interview preparation
• Direct exposure to advanced model optimization strategies
• Opportunities for expanded project involvement based on performance quality

Ideal Candidate Profile

• Strong interest in Machine Learning, modelling, and experimentation
• Basic knowledge of Python and ML libraries (Scikit-Learn, TensorFlow, PyTorch preferred but not mandatory)
• Analytical mindset with a commitment to iterative problem solving

Application Deadline

10th December