Machine Learning Engineer

Granite East Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work flexibility

Job summary

Granite East Inc. is seeking a Machine Learning Engineer to work remotely. This full-time role involves developing and implementing machine learning models to solve complex business problems.

You will collaborate with cross-functional teams across data science, software engineering, and product management to deliver scalable solutions for fintech clients. A Master's in CS/ML and hands-on experience with Python, TensorFlow, and PyTorch are required.

Qualifications

• 3+ years of experience in machine learning engineering.
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Master's degree in Computer Science, Machine Learning, or related field.

Responsibilities

• Design, develop, and deploy machine learning models and algorithms.
• Conduct data analysis and feature engineering to improve model performance.
• Monitor and maintain machine learning systems to ensure optimal performance.
• Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
• Stay up-to-date with the latest advancements in machine learning and AI technologies.
• Document and communicate technical findings to both technical and non-technical stakeholders.

Skills

Python

R

Java

Statistical methods

Data analysis

Feature engineering

Education

Master's degree in Computer Science, Machine Learning, or related field

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Job description

Granite East Inc. is seeking a Machine Learning Engineer to work remotely. This full-time position involves developing and implementing machine learning models to solve complex business problems.

The Machine Learning Engineer will design, develop, and implement machine learning models to solve complex business problems. You will collaborate with cross-functional teams to deliver high-quality solutions that enhance clients' experiences and operational efficiency.

You will collaborate with our team in the financial technology sector from the comfort of your own space, allowing you to maintain a healthy work-life balance. Our workplace is designed to support remote work, providing you with the tools and resources needed to thrive in a virtual environment. This flexible arrangement enables you to create a personalized workspace that suits your preferences and enhances your productivity. By working remotely, you can avoid the daily commute, which not only saves time but also reduces stress and environmental impact. This setup fosters a sense of autonomy and empowers you to manage your time effectively, ensuring that you can meet your professional and personal obligations with ease.

The salary is negotiable, allowing for a personalized compensation package that reflects the candidate's skills, experience, and market value. Benefits include remote work flexibility, enabling employees to work from any location with an internet connection, and the opportunity to work on innovative projects, which can range from cutting-edge software development to groundbreaking research and development initiatives.

To be successful in this role, you must have a Master's degree in Computer Science, Machine Learning, or a related field. You should have experience with Python, TensorFlow, and PyTorch. Proficiency in SQL and experience with cloud platforms like AWS or GCP is required.

by November 22, 2026.

The deadline for submissions is firm, and late applications will not be considered.

What You Will Do:

• Design, develop, and deploy machine learning models and algorithms.
• Conduct data analysis and feature engineering to improve model performance.
• Monitor and maintain machine learning systems to ensure optimal performance.
• Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
• Stay up-to-date with the latest advancements in machine learning and AI technologies.
• Document and communicate technical findings to both technical and non-technical stakeholders.

What You Bring:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of experience in machine learning engineering.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of statistical methods and data analysis techniques.
• Experience with cloud platforms such as AWS, GCP, or Azure.