Junior Machine Learning Engineer

Sophilabs; United States; Remote; USD 70,000 - 90,000; Full time

Job summary

A leading company in the tech industry is seeking a Junior ML Engineer to support data and ML teams in various tasks including data handling and developing machine learning models. This role offers mentorship, training programs, and the ability to work flexibly in a supportive team environment. The ideal candidate will have basic knowledge of ML concepts and proficiency in Python.

Benefits

Mentorship

Training programs

Online courses

Flexible remote work

Supportive team environment

Qualifications

• Basic knowledge of ML pipelines and data handling.
• Comfortable writing Python scripts.
• Understanding of overfitting, cross-validation, and train/test splits.

Responsibilities

• Support data and ML teams in data collection and preparation.
• Experiment with basic ML models.
• Deploy intelligent solutions.

Skills

Python

Data Handling

Machine Learning Concepts

Communication Skills

Education

Internship or academic projects in ML/data science

Tools

pandas

NumPy

matplotlib

scikit-learn

TensorFlow

PyTorch

Job description

A Typical Day

As a Junior ML Engineer, you’ll support data and ML teams in collecting, cleaning, and preparing data, as well as experimenting with basic ML models. You’ll learn and grow while contributing to the deployment of intelligent solutions.

Qualifications

• Basic knowledge of ML pipelines and data handling
• Comfortable writing Python scripts
• Understanding of concepts like overfitting, cross-validation, and train/test splits
• Interest in applying ML to business or real-world problems

Preferred Qualifications

• Internship or academic projects involving ML or data science
• Familiarity with pandas, NumPy, matplotlib
• Exposure to scikit-learn, TensorFlow or PyTorch
• Good communication and documentation skills
• Full-time and Remote availability
• English communication skills

We offer

Mentorship, training programs, online courses, and hands-on experience

Flexible remote work and supportive team environment