Machine Learning Engineer

Sophilabs; United States; Remote; USD 85,000 - 120,000; Full time

Job summary

A leading company in technology is seeking a Machine Learning Engineer to join their dynamic team. You will be responsible for building, training, and deploying machine learning models, collaborating with cross-functional teams to deliver impactful solutions. The position offers remote work flexibility and opportunities for career growth, training, and a balanced work-life environment.

Benefits

Career growth

Training

English classes

Investment days

Coaching

Flexible remote work

Great work-life balance

Qualifications

• Understanding of core ML concepts and data preprocessing techniques.
• Familiarity with common ML algorithms.
• Ability to work with structured datasets and build basic models.

Responsibilities

• Build, train, and deploy ML models to solve challenges.
• Collaborate with teams to turn data into actionable insights.
• Develop scalable machine learning solutions.

Skills

Core ML concepts

Data preprocessing

Python

Scikit-learn

Pandas

NumPy

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Science

Bachelor’s degree in related field

Tools

Jupyter Notebooks

Cloud-based environments

Job description

A Typical Day

As a Machine Learning Engineer, you’ll work on building, training, and deploying ML models to solve real-world challenges. You’ll collaborate with cross-functional teams to turn data into actionable insights and develop scalable machine learning solutions.

Qualifications

• Understanding of core ML concepts and data preprocessing techniques
• Familiarity with common ML algorithms (regression, classification, clustering)
• Experience with Python and libraries such as scikit-learn, pandas, NumPy
• Ability to work with structured datasets and build basic models

To explore more about this opportunity and discover other exciting roles, simply type 'Sophilabs Careers' in your favorite search engine. Dive into a world of possibilities with us!

Preferred Qualifications

• Bachelor’s degree in Computer Science, Data Science, or related field
• Knowledge of model evaluation metrics
• Basic experience with Jupyter Notebooks or cloud-based environments
• Remote and full-time availability
• English communication skills

We offer

Career growth, training, English classes, investment days, and coaching

Flexible, remote work and great work-life balance