Sr Machine Learning Engineer

Join PayPal in Bengaluru, Karnataka, India, as a Senior Machine Learning Engineer. This role involves developing and optimizing advanced machine learning models for a variety of applications. You will be responsible for preprocessing and analyzing large datasets to uncover valuable insights. A key aspect of this position is deploying ML solutions into production environments, utilizing appropriate tools and frameworks. You will collaborate closely with cross-functional teams to seamlessly integrate ML models into PayPal's products and services. Continuous monitoring and evaluation of deployed model performance are also crucial. We are seeking candidates with a minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent. Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn is required. Familiarity with cloud platforms like AWS, Azure, or GCP, along with tools for data processing and model deployment, is essential. Demonstrable experience in designing, implementing, and deploying machine learning models is a must. A strong understanding of supervised and unsupervised learning, deep learning algorithms, model evaluation, and algorithm tuning is expected. Proven experience working with tabular and textual data, including advanced preprocessing techniques, is vital. The ideal candidate will be proficient in Python (preferred) and Java, with hands-on experience building RESTful APIs and integrating AI/ML models into live services. A solid grasp of containerization technologies (Docker, Kubernetes) and MLOps frameworks (e.g., MLflow, TFX, or Kubeflow) is necessary. Experience with streaming data systems (e.g., Kafka, Flink) and real-time ML inference is also highly valued. Demonstrated experience in system architecture, solution design, and building scalable AI/ML systems is required. Familiarity with agentic and multi-agent frameworks is considered a plus.