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# Senior Python / Machine Learning Engineer - Ft Lauderdale

- **Company:** FormativGroup, LLC
- **Location:** Miami, FL, United States
- **Experience:** Expert
- **Salary:** $93,600.0 - $104,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Data Cleansing, Information Engineering, Data Transformation, Python (Programming Language), Machine Learning, NoSQL, NumPy, Tensorflow, Standard Sql, Azure Machine Learning, Google Cloud, Feature Engineering, Pytorch, Flask (Web Framework), Deep Learning, Model Validation, Keras, Git, Fastapi, Pandas, Core Data, Scikit Learn, Machine Learning Operations, Restful APIs, Software Version Control
- **Published:** October 13, 2026
- **Apply:** https://www.miamigigs.com/job.asp?id=3440746840&tx=UT4844TYZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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

Additional / Preferred Skills

 * Experience deploying models into production environments
 * Familiarity with scalable ML pipelines and MLOps concepts
 * Exposure to cloud-based AI/ML services (AWS, Azure, GCP), * This role is a Hybrid role that requires candidate to go onsite 3 days in office/2 days remote. Candidates are preferred in Fort Lauderdale, FL. Candidates must reside within the physical US.

## Description

The role of the Senior Python Engineer is to design, develop, and deploy machine learning solutions that transform data into actionable insights, while ensuring scalability, performance, and integration into production systems. This role focuses on building and operationalizing machine learning models, supporting end-to-end data workflows, and integrating AI capabilities into broader application ecosystems. The individual will work closely with engineering and data teams to deliver reliable, production-ready solutions., * 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