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Expected Qualifications:
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך

Essential Responsibilities:
Expected Qualifications:
Preferred Qualification:
Our Benefits:
Any general requests for consideration of your skills, please

Essential Responsibilities:
Expected Qualifications:
Preferred Qualification:
Our Benefits:
Any general requests for consideration of your skills, please

Essential Responsibilities:
Expected Qualifications:
Preferred Qualification:
As a Frontend engineer for PayPal Checkout, you will provide technical leadership for your development team and you will lead the team’s participation in all phases of our software development lifecycle. In this role, you will be responsible for shaping the future of PayPal's customer facing checkout products. This will be accomplished through technical leadership, implementation of technical designs, direct contributions to architectural decisions, influencing the technical direction of our web applications and mentoring of junior engineers. You will be responsible for developing industry-leading experiences that bring unquestionable value to both merchants and buyers. You will use your years of technical expertise and a solid understanding of the business domain to help us improve the scale, reliability, and performance of our platforms.
Your Day to Day:
What You Bring
Our Benefits:
Any general requests for consideration of your skills, please

Essential Responsibilities:
Minimum Qualifications:
Preferred Qualification:
We are looking for a highly skilled Power Platform Developer to build and scale enterprise-grade solutions using Power Apps, Power Automate, Power BI, and Copilot Studio (formerly Power Virtual Agents).
The ideal candidate will demonstrate:
AI Proficiency: Practical experience with AI Builder and Copilot for intelligent automation.
Strong Development Skills: Expertise in scripting, programming, and debugging complex solutions.
Architecture & Design: Ability to design robust systems, automate business workflows, and structure scalable solutions.
Advanced Integration: Deep knowledge of integrating APIs, custom connectors, and both cloud and on-premises data sources .
Analytical Strength: Excellent problem-solving and analytical thinking to drive high-performance implementations.
Good to have : Microsoft certifications (e.g., PL-400, PL-600).
Our Benefits:
Any general requests for consideration of your skills, please

Essential Responsibilities:
Expected Qualifications:
Preferred Qualification:
Your way toimpact
Strong critical thinking and problem-solving skills with the ability to address complex technical and non-technical challenges.
Ability to influence at all levels of the organization and across multiple domains.
Ability to lead complex technical and data science discussions and engagements that involve multiple personas including data scientists, data engineers,analystsand developers.
Your day to day
Design and develophighlyscalable and efficient platform that enables data scientists to build, deploy, andmonitormachine learning solutions end-to-end.
Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices.
Drive innovation by researching and incorporatingstate-of-the-artmachine learning techniques, tools, and frameworks into the platform.
Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner
provide
state-of-the-artdeep learning techniques andPartner
scientistsand architecture leaders to drive optimized platform product delivery
What do you need to bring
+ year experience for MS;8+ year experience for BS.
track recordof over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platform products.
Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technicalexpertisein one or more of the above-mentioned areas or equivalent practical experience.
proficiencyin machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
in programming languages such as Python,Go,Java, andproficiencyin 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 andleveragethis knowledge to enhance the platform's capabilities.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
Strong 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 withJupyterNotebook, Kubeflow, Airflow, Argo,GPUand HPC
Experience building ML infrastructure orMLOpsplatformsand Bigdata platforms technologies such as Hadoop,BigQuery, Spark, Hive and HDFS
Our Benefits:
Any general requests for consideration of your skills, please

Essential Responsibilities:
Expected Qualifications:
Preferred Qualification:
Our Benefits:
Any general requests for consideration of your skills, please

Essential Responsibilities:
Expected Qualifications:
Our Benefits:
Any general requests for consideration of your skills, please
משרות נוספות שיכולות לעניין אותך