Python Machine Learning Engineer

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

We are looking for an experienced Python Machine Learning Engineer with strong expertise in Python, Machine Learning, Deep Learning, and data science to develop, train, and deploy intelligent ML models and AI-powered applications.

Develop and implement Machine Learning 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.