Python ML Engineer: Build & Deploy AI Models at Scale

Ethereum Technologies; Atlanta (GA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Ethereum Technologies seeks an experienced Python Machine Learning Engineer to develop, train, and deploy intelligent ML models and AI-powered applications.

You will build models with Scikit-learn, TensorFlow, and PyTorch, perform data preprocessing with Pandas and NumPy, and evaluate and optimize model accuracy. Deployment via REST APIs on cloud platforms will be required, collaborating with data scientists and engineering teams.

Qualifications

• Proficient in Python for ML model development and deployment.
• Experience building predictive models using supervised/unsupervised learning.
• Familiarity with Scikit-learn, TensorFlow, and PyTorch for model development.
• Data preprocessing with Pandas/NumPy; feature engineering and model evaluation.

Responsibilities

• Develop and implement ML models using Python.
• Build predictive models and data-driven solutions.
• Work with supervised and unsupervised learning algorithms.
• Deploy ML models via REST APIs on cloud platforms.

Skills

Python programming

Machine Learning

Deep Learning

Data science

Data preprocessing

Feature engineering

Model evaluation

Data analysis

Tools

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

REST APIs

Cloud platforms

Job description

Ethereum Technologies seeks an experienced Python Machine Learning Engineer to develop, train, and deploy intelligent ML models and AI-powered applications.

You will build models with Scikit-learn, TensorFlow, and PyTorch, perform data preprocessing with Pandas and NumPy, and evaluate and optimize model accuracy. Deployment via REST APIs on cloud platforms will be required, collaborating with data scientists and engineering teams.