Principal Machine Learning Engineer, AI

Role Overview: As a Machine Learning Lead at our company, you will be responsible for driving the strategic vision and development of cutting-edge machine learning models and algorithms to solve complex problems. Your role will involve working closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. You will play a key role in building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Key Responsibilities: - Define and drive the strategic vision for machine learning initiatives across multiple teams or projects. - Lead the development and optimization of state-of-the-art machine learning models. - Oversee the preprocessing and analysis of large datasets. - Deploy and maintain ML solutions in production environments. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and evaluate the performance of deployed models, making necessary adjustments. - Mentor and guide junior engineers and data scientists. - Publish research findings and contribute to industry discussions. - Lead the development of new methodologies and frameworks for ML applications. Qualifications Required: - Minimum of 15 years of relevant work experience and a Bachelor's degree or equivalent experience. - Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn. - Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. - Proven track record of leading the design, implementation, and deployment of machine learning models. Note: The company emphasizes core values of Inclusion, Innovation, Collaboration, and Wellness, ensuring a collaborative and inclusive work environment. For more information about the company's culture and community, you can visit https://about.pypl.com/who-we-are/default.aspx. The company also encourages diversity and inclusion in its workforce and welcomes candidates from all backgrounds to join their Talent Community without hesitation.,