This Job Vacancy has Expired!

Principal Engineer

Posted on Apr 19, 2021 by SAP

Palo Alto, CA 94301
Engineering
Immediate Start
Annual Salary
Full-Time


If you like challenges of next-generation Search and if you are experienced Search Engineer interested in building data-driven enterprise solutions with search algorithms and machine learning, then you will be the best fit for this role.
The Platform Team within SAP Ariba is looking for a Principal Engineer to build a state-of-the-art Intelligent Search Platform for SAP Ariba applications.


Responsibilities:


Architect and implement the search infrastructure
Determine the Search relevance, quality and provide recommendations of optimizing search results
Experiment, improve and optimize search results on all areas of search - from query and intent understanding, Natural Language Processing (NLP), ranking algorithms to the recommendation, machine learning, and personalization
Collaborate and innovate with Product, Design, Data Science and Application teams to deliver the quickest, most relevant and reliable search experience across all products
Work closely with partner teams to help drive search as a platform and power products across the engineering organization
Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy


Qualifications:


BS/MS in Computer Science or related field
8+ years of working hands-on experience on applied search technologies, including appropriate usage of ML techniques
Expert knowledge in Search Technologies (eg Lucene, Solr) used in building a large-scale search infrastructure
Excellent skills in system architecture & design, data analysis, and problem-solving
Experience in building scalable, distributed search Back End services and product integration
Expert Programming skills in JAVA and Python
Deep expertise in ML models and their development, training/testing and productization, TensorFlow, Keras is desirable
Familiarity with developing and integrating with microservices, event-driven and parallel processing pipelines, modern DevOps practices
Passion for customers, product quality, security, and service excellence
Knowledge of Cassandra, Kafka, Hadoop, Jupyter notebooks is a plus
Experience and expertise in cybersecurity for cloud services, Kubernetes, general hyperscaler understanding is a plus




Reference: 1170996505

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