Sr. Machine Learning & AI Engineer

Role Overview: As a Machine Learning Engineer at the company, you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems. Your role will involve close collaboration with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. You will play a key part in building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Key Responsibilities: - Develop and optimize machine learning models for various applications. - Preprocess and analyze large datasets to extract meaningful insights. - Deploy ML solutions into production environments using appropriate tools and frameworks. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and evaluate the performance of deployed models. Qualifications Required: - Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. - Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. - Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. - Several years of experience in designing, implementing, and deploying machine learning models. Company Details: The company is guided by core values of Inclusion, Innovation, Collaboration, and Wellness. These values ensure a collaborative work environment with a focus on customer satisfaction and community well-being. To learn more about the company's culture and community, you can visit their website at https://about.pypl.com/who-we-are/default.aspx. The company is committed to diversity and inclusion, encouraging candidates from all backgrounds to join their Talent Community and apply for opportunities.,