Sr ML Platforms Engineer

As a Senior ML Platform Engineer at the company, you will play a crucial role in designing, building, and maintaining robust and scalable machine learning infrastructure. Your responsibilities will involve collaborating with data scientists, engineers, and product teams to automate workflows, optimize performance, and integrate new ML technologies seamlessly. Your expertise will drive the adoption of best practices in MLOps, cloud architecture, and CI/CD to ensure platform reliability, security, and cost efficiency. Your leadership and technical skills will be essential in advancing the organization's ML capabilities. **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. **Additional Details:** The company values Inclusion, Innovation, Collaboration, and Wellness as core principles guiding daily business operations. Working together as a global team, with customers at the center, the company ensures self-care, teamwork, and community support are prioritized. For more information about the company's culture and community, visit [https://about.pypl.com/who-we-are/default.aspx](https://about.pypl.com/who-we-are/default.aspx). The company is committed to Diversity and Inclusion. If you believe you have the skills required, feel free to apply and join our Talent Community. Your confidence and skills are valued, and the company encourages all qualified candidates to apply without hesitation.,