PayPal Senior Machine Learning Engineer 

India, Karnataka, Bengaluru 

689723080

What do you need to know about the role:

Your way to impact:

• The ideal candidate is excellent in problem solving, 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

• Your role will involve leveraging your technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments

• With a proven track record in technical execution, you'll be instrumental in driving high-quality products and ensuring the successful delivery of projects
  

Your day-to-day:

• Design and deploy scalable traditional and generative AI solutions and productize ML models that enhance PayPal's ability to provide a seamless customer experience

• Work with data scientists and backend engineers to solve complex problems with AI/ML.

• Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices.

• Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform.

• Highly effective at working in cross-functional groups and getting results in matrix organizations

• Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning.
  

What do you need to bring:

• 5-8 Years of experience

• Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience.

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

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

• Expert in multipleProgramming/scriptinglanguages, i.e. Python, Java, Scala and GCP Offerings (BQ, Data Proc and Big Table)

• Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka.

• Proficiency in SQL, ETL, database design

• Good understanding of NoSQL database like HBase, Redis, Aerospike.

• Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs.

• Expertise in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in GCP is a plus

• Experience on front end/web development technology

• Experience on agile methodology

• Stay up to date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platform's capabilities

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

Our Benefits:

Any general requests for consideration of your skills, please