Python Machine Learning Engineer

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

Job summary

Robotics Technologies LLC is seeking an experienced Python Machine Learning Engineer to develop, train, and deploy AI-powered applications. The role focuses on implementing ML models with Python and common frameworks, building predictive solutions and scalable data pipelines.

You will work with Scikit-learn, TensorFlow, and PyTorch, perform preprocessing and feature engineering, and optimize model performance.

Qualifications

• Demonstrated experience building ML models and data pipelines.
• Ability to train, evaluate, and deploy ML models at scale.
• Proficiency with Python-based ML frameworks and libraries.

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 programming

Machine learning

Deep learning

Data science

Tools

Python

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.