Job Summary
What you need to know about the role-
We are hiring talented and creative ML engineer for AIML platform team based in Bangalore IND, you will be customer-centric, strategic analytical in decision making and laser-focused on executing at scale. 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 gain domain expertise in a variety of industries, working with data scientists, researchers, and engineers to build ML models used across all PayPal domains. Meet our team PayPal AI/ML Platform team is responsible for building the ML platform to help data scientists with the end-to-end model development lifecycle. We build state of the art and innovative ML infrastructure to support key product functions such as Fraud risk, Compliance, Personalization, Recommendations, Customer success, and other domains across PayPal.
Job Description
Essential Responsibilities
- Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles.
- Advises immediate management on project-level issues
- Guides junior engineers
- Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices
- Applies knowledge of technical best practices in making decisions
Expected Qualifications
- 3+ years relevant experience and a Bachelor s degree OR Any equivalent combination of education and experience.
Preferred Qualification
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Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices.
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Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner .
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Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning.
What do you need to bring -
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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.
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Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
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Expertise in programming languages such as Python, Go, Java, and proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch , scikit-learn, etc.
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Experience with cloud platforms (e g, AWS, Azure, GCP) and containerization technologies (e g, Docker, Kubernetes).
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Strong communication , listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner.
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Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential.
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Experience with Jupyter Notebook, Kubeflow, Airflow, Argo, GPU and HPC
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Experience building ML infrastructure or MLOps platforms and Bigdata platforms technologies such as Hadoop, BigQuery , Spark, Hive and HDFS
