Python Machine Learning Developer
1 week ago
Company Description
Codefeast specializes in providing dynamic workforce solutions, connecting businesses with top-tier talent for both contract and long-term positions. By focusing on creating agile, adaptable teams, Codefeast ensures organizations have the expertise they need to thrive in the modern workplace. With a strong emphasis on flexibility, reliability, and innovative approaches, Codefeast is dedicated to empowering business growth. We adapt to the specific needs of our partners, delivering future-ready talent solutions.
Role Description
This is a full-time remote role for a Python Machine Learning Developer at Codefeast. In this position, you will design, develop, and implement machine learning models, ensuring their scalability and integration within existing systems. The role requires analyzing and preprocessing large datasets, creating algorithms to drive predictive and prescriptive insights, and continuously improving model performance. You will also collaborate with cross-functional teams to align machine learning solutions with project goals and timelines, contributing to data-driven decision-making at an organizational level.
Qualifications
- Proficiency in Python programming and experience with libraries such as TensorFlow, PyTorch, scikit-learn, and NumPy
- Strong understanding of machine learning algorithms, deep learning techniques, and data modeling
- Experience with data manipulation, cleaning, and analysis using tools such as pandas and SQL
- Familiarity with deploying machine learning models and integrating them into production systems
- Strong problem-solving skills and ability to develop innovative technical solutions
- Solid understanding of version control systems like Git and experience working in collaborative environments
- Excellent communication skills and ability to work effectively within a remote, collaborative team
- A Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field is preferred
- Experience in cloud platforms like AWS, Azure, or GCP is a plus
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