Python Machine Learning Engineer

Quantum Technologies. LLC; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced Python Machine Learning Engineer in Atlanta to develop, train, and deploy AI-powered applications.

You will build predictive models with Scikit-learn, TensorFlow, and PyTorch, perform data preprocessing, feature engineering, and model evaluation, and optimize accuracy and scalability. The role involves deploying ML models via REST APIs and collaborating with data scientists and engineering teams to deliver data-driven solutions.

Qualifications

• Experience developing ML models using Python.
• Strong knowledge of ML algorithms and evaluation metrics.
• Familiarity with model deployment via REST APIs and cloud platforms.

Responsibilities

• Develop, train and deploy ML models in Python.
• Preprocess data, engineer features and evaluate models.
• Collaborate with data scientists and engineers to integrate solutions.

Skills

Python

Machine Learning

Deep Learning

Data science

Tools

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Job description

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.