Python ML Engineer: Build AI-Powered Models

Cloud Analytics Technologies, LLC; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking an experienced Python Machine Learning Engineer to develop, train, and deploy intelligent ML models and AI-powered applications.

You will build predictive models using Python, Scikit-learn, TensorFlow, and PyTorch; perform data preprocessing with Pandas and NumPy; and optimize model performance for scalable production systems. Collaboration with data scientists and engineers is essential.

Qualifications

• Proven experience developing ML models in Python.
• Experience with supervised and unsupervised learning.
• Strong data preprocessing and feature engineering skills.
• Experience deploying models via REST APIs and cloud platforms.
• Ability to optimize model accuracy and scalability.

Responsibilities

• Develop and implement ML models using Python.
• Build predictive models and data-driven solutions.
• Work with supervised and unsupervised learning algorithms.
• Develop ML solutions using Scikit-learn, TensorFlow, and PyTorch.
• Perform data preprocessing, feature engineering, and model evaluation.
• Analyze large datasets using Pandas and NumPy.
• Optimize model accuracy, performance, and scalability.
• Deploy ML models using REST APIs and cloud platforms.
• Collaborate with data scientists and engineering teams.

Skills

Python

Machine Learning

Deep Learning

Data Science

Tools

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Job description

Cloud Analytics Technologies, LLC is seeking an experienced Python Machine Learning Engineer to develop, train, and deploy intelligent ML models and AI-powered applications.

You will build predictive models using Python, Scikit-learn, TensorFlow, and PyTorch; perform data preprocessing with Pandas and NumPy; and optimize model performance for scalable production systems. Collaboration with data scientists and engineers is essential.