Exciting Machine Learning Engineer Positions at PayPal in Bangalore & Chennai

If you are passionate about machine learning and looking for an exciting opportunity to advance your career, PayPal has the perfect roles for you! With the rise of technology and the increasing importance of machine learning in the financial sector, PayPal is seeking talented Machine Learning Engineers to join their teams in Bangalore and Chennai. This is an opportunity to work with cutting-edge technologies and contribute to innovative solutions that enhance payment security and user experience. As part of a forward-thinking company, you will play a crucial role in shaping the future of financial technology.

Key Job Details

• Job Title: Machine Learning Engineer
• Location: Bangalore & Chennai
• Salary: As per Company Standards
• Employment Type: Full Time
• Education Requirement: Bachelor’s degree or equivalent experience
• Experience: Minimum of 2 years in a relevant field
• Date Posted: October 9, 2025

About the Role

As a Machine Learning Engineer at PayPal, you will be at the forefront of developing and deploying machine learning solutions that tackle complex challenges in the fintech industry. Your primary responsibilities will include collaborating with cross-functional teams to optimize machine learning models, analyzing large datasets to ensure data quality, and conducting experiments to test the efficacy of different algorithms. You will work with advanced ML frameworks such as TensorFlow and scikit-learn, implementing supervised and unsupervised methods to enhance fraud detection and risk modeling processes. This role not only demands a strong technical background but also a proven ability to translate complex machine learning insights into actionable strategies that drive business decisions.

Required Skills

• Proficiency in Python: Strong skills in Python are essential for data analysis, machine learning, and automating processes.
• Familiarity with ML Frameworks: Experience with TensorFlow, scikit-learn, or PyTorch is critical for building and deploying models.
• Analytical Skills: You should possess strong analytical and problem-solving abilities to interpret complex data.
• Understanding of AI Methods: A solid understanding of various AI/machine learning methods, including XGBoost, LightGBM, and neural networks, is required.
• Experience in Fintech: Previous experience in payment fraud, AML, KYC, or risk modeling within financial institutions is highly beneficial.
• Hands-on Experience with LLMs: Familiarity with LLMs and prompt engineering will be an advantage in supporting automation and risk workflows.

Responsibilities

• Model Development: Assist in the development and optimization of machine learning models to improve accuracy and performance.
• Data Preprocessing: Preprocess and analyze datasets to ensure the integrity and quality of data used for modeling.
• Collaboration: Work closely with senior engineers and data scientists on model deployment and scalability.
• Conduct Experiments: Run machine learning tests and experiments to validate models and refine algorithms.
• Stay Updated: Keep abreast of the latest advancements in machine learning to apply best practices in your work.

Why Join PayPal

Joining PayPal means becoming part of a dynamic and inclusive company culture that values innovation and collaboration. PayPal offers competitive salaries, comprehensive benefits, and opportunities for professional growth. As a leader in the fintech industry, PayPal is committed to fostering talent and encouraging continuous learning. Employees have access to various resources, training programs, and mentorship opportunities that empower them to take their careers to the next level. Be part of a company that not only drives technological advancements but also prioritizes the well-being and development of its employees.

Industry Trends

The demand for machine learning professionals is rapidly increasing as businesses recognize the importance of data-driven decision-making. In 2025, the job market is expected to see a surge in opportunities for machine learning engineers, especially in the fintech sector. With the growing threats of payment fraud and the need for robust risk management systems, positions like the one at PayPal are not only valuable but essential. Embracing this role will place you at the heart of innovation, allowing you to contribute to solutions that make financial transactions safer and more efficient.

How to Apply

If you are ready to take the next step in your career and become a part of an innovative team at PayPal, click the button below to apply for the Machine Learning Engineer position:

Apply Here