Senior Python Engineer

FormativGroup

Senior Python Engineer designing and deploying machine learning solutions at FormativGroup. Collaborating with engineering and data teams to deliver reliable, production-ready solutions.

Posted 6/11/2026full-timeFort Lauderdale • Florida • 🇺🇸 United StatesSenior💰 $45 - $50 per hourWebsite

Tech Stack

Tools & technologies

FlaskKerasNoSQLNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Develop and maintain machine learning models using Python, leveraging techniques such as regression, classification, clustering, and ensemble methods
Design and deploy scalable AI/ML solutions utilizing deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
Perform data preparation activities including cleansing, transformation, and feature engineering to support model accuracy
Evaluate model performance and iterate to improve reliability and predictive outcomes
Build and integrate RESTful APIs (e.g., Flask, FastAPI) to enable model consumption within applications
Collaborate with cross-functional teams to embed ML solutions into production environments

Requirements

What you’ll need

6-8+ years of experience in Python-based development roles and AI/ML
Strong proficiency in Python and core data science libraries such as NumPy, Pandas, and Scikit-learn
Hands-on experience implementing machine learning and deep learning models in real-world applications
Solid understanding of data engineering concepts, including preprocessing, feature engineering, and model evaluation techniques
Experience working with SQL or NoSQL databases
Familiarity with version control systems (e.g., Git) and collaborative development practices
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa currently.

Benefits

Comp & perks

Health insurance
401(k)
Paid time off
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonmachine learningdeep learningregressionclassificationclusteringensemble methodsdata preparationfeature engineeringmodel evaluation