Job Summary

We are hiring talented and creative ML engineer for AIML platform team based in Bangalore, India. You will be customer-centric, strategic analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success.

You will have a chance to work on solving real world problems and gain practical experience in end-to-end Machine Learning life cycle. You will design, build, and optimize the platform for ML pipeline and data infrastructure. Additionally, you will gain domain expertise in a variety of industries, working with data scientists, researchers, and engineers to build ML models used across all PayPal domains.

Essential Responsibilities

- Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system

- Determines the technical tasks that other engineers will follow

- Actions result in the achievement of customer, operational, program or service objectives

- Proactively improves existing structures processes

- Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems

- Notices patterns and condenses repetition into densely meaningful generalized solutions

- Collaborates with management to set/improve standards for engineering rigor

- Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations





Minimum Qualifications

- 5+ years relevant experience and a Bachelor s degree OR Any equivalent combination of education and experience.

Additional Responsibilities / Preferred Qualifications

- Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.

- Expertise in programming languages such as Python, Go, Java, and proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.

- Stay up-to-date with the latest advancements in AI/ML technology and industry trends, and leverage this knowledge to enhance the platforms capabilities.

- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).

- Solid communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner

- Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential.

- Experience with Jupyter Notebook, Kubeflow, Airflow, Argo, GPU and HPC

- Experience building ML infrastructure or MLOps platforms and Bigdata platforms technologies such as Hadoop, BigQuery, Spark, Hive and HDFS

Subsidiary

PayPal

Travel Percent

0

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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