Remote Machine Learning Engineer: Build AI Solutions

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 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.