Machine Learning Intern

Job Description

Job Title : Machine Learning Intern

Company : Emonics LLC

Location : Houston, TX

Job Type : Internship | Entry Level

About Emonics LLC

Emonics LLC is a technology-driven consulting and IT services company that helps organizations leverage artificial intelligence, machine learning, and data analytics to drive digital transformation. Our team is passionate about developing intelligent systems that solve real-world business challenges.

Position Overview

Emonics LLC is seeking a motivated and detail-oriented Machine Learning Intern to join our AI and Data Science team in Houston. This internship is designed for students or recent graduates who want to gain hands-on experience applying machine learning techniques to practical projects. You will work alongside experienced engineers and data scientists, contributing to the design, training, and evaluation of ML models.

Key Responsibilities

Assist in building, testing, and optimizing machine learning and deep learning models.

Support data collection, cleaning, and preprocessing for various ML projects.

Conduct exploratory data analysis to uncover insights and patterns.

Experiment with different algorithms and feature engineering techniques.

Collaborate with senior engineers to deploy models into production environments.

Document experiments, results, and methodologies clearly and accurately.

Required Qualifications

Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

Foundational knowledge of machine learning algorithms and statistical modeling.

Proficiency in Python and familiarity with libraries such as scikit-learn, TensorFlow, or PyTorch.

Experience with data manipulation tools (Pandas, NumPy) and visualization libraries (Matplotlib, Seaborn).

Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Exposure to cloud computing platforms (AWS, Azure, or GCP).

Experience with SQL or NoSQL databases.

Prior internship, coursework, or project experience in AI / ML.

Understanding of version control systems like Git / GitHub.

What You’ll Gain

Hands-on experience with real-world machine learning projects.

Mentorship and technical guidance from experienced ML professionals.

Exposure to end-to-end model development and deployment processes.

A collaborative and innovative work culture.

Potential for full-time opportunities upon successful internship completion.

How to Apply

Submit your resume and a brief cover letter highlighting your academic background and interest in machine learning to :