Python Developer - ML Expertise

February 27

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mavQ

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mavQ is an AI-driven automation platform that specializes in content management and workflow optimization. Its flagship product, intelliSuite, offers a wide range of features including intelligent content capture, data redaction, e-signature capabilities, and advanced generative AI tools. Designed for seamless integration with various business applications, mavQ empowers organizations to automate repetitive tasks and streamline operations, enhancing both productivity and data security. With a focus on efficiency and user customization, mavQ aims to revolutionize the way businesses manage and interact with their content.

Enterprise Software • Development

51 - 200 employees

Founded 2020

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• This is a remote position. • Design, develop, and maintain efficient, reusable, and reliable Python code to support machine learning applications. • Collaborate with data scientists and cross-functional teams to define, design, and implement machine learning models and algorithms. • Integrate machine learning models into production systems and applications. • Optimize model performance and scalability by implementing best practices in model tuning and deployment. • Build APIs and integrate with third-party ML services and data sources. • Debug and resolve complex software defects, issues, and risks related to Python development and machine learning. • Participate in code reviews to ensure adherence to best coding practices and maintain high-quality standards. • Continuously research new machine learning techniques and tools to stay ahead in the field and improve development practices. • Contribute to the overall architecture and design of ML-driven systems.

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field. • 4+ years of professional experience as a Python Developer with a strong focus on machine learning. • Experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or Scikit-learn. • Proficiency in Python frameworks such as Django, Flask, or FastAPI. • Strong understanding of data structures, algorithms, and software design principles. • Experience with version control systems (e.g., Git) and CI/CD pipelines. • Solid understanding of databases, including relational (MySQL, PostgreSQL) and NoSQL (MongoDB). • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and deployment of machine learning models. • Strong debugging and performance tuning skills. • Excellent verbal and written communication skills, with an emphasis on teamwork and collaboration. • Ability to thrive in a fast-paced, dynamic environment with attention to detail. • Experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or Scikit-learn. • Familiarity with testing frameworks such as PyTest or UnitTest. • Certifications in Python programming, machine learning, or related technologies. • Knowledge of containerization technologies like Docker and orchestration tools such as Kubernetes. • Understanding of DevOps practices and tools.