- 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
- 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.
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