Customer Engineer

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đź•’ April 1

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Logo of Vianai Systems, Inc.

Vianai Systems, Inc.

51 - 200 employees

đź’Ľ Consulting

📣 Marketing

🤖 Artificial Intelligence

đź’° $140M Series B on 2021-06

Consulting • Marketing • Artificial Intelligence

Vianai Systems, Inc. is a software company dedicated to harnessing the power of artificial intelligence and machine learning. They aim to empower businesses, including CEOs and developers, by providing tools that transform AI capabilities into tangible returns on investment. By focusing on AI, data science, and software development, Vianai seeks to lead the industry in building intelligent applications that redefine business success.

đź“‹ Description

• Collaborate with a diverse team of Designers, Developers, Engineers, Data Scientists both internally and with our customers. • Perform hands-on and in-depth investigations/debugging at all levels of our software stack. • Strong analytical and quantitative problem-solving ability. • Communicate and present at all levels in a clear and simple manner showing good relationship skills and being a strong team player. • Take leadership to pursue the best, state-of-the-art solutions, within the dynamic requirements and timelines.

🎯 Requirements

• BS in Computer Science, Human Machine Interface Design, Human-Computer Interaction, or equivalent. • 3-5 years experience with application development using Python, HTML, CSS, JavaScript, React, and other industry standard languages and frameworks. • 3-5 years experience with backend and DBMS technology, including SQLserver, MySQL, Redis, Elastic, Kibana, and RabbitMQ. • Experience with Kubernetes, docker micro-services, and cloud infrastructures (AWS, Azure, GCP). • In-depth hands-on experience with industry standard frameworks like React or similar. • Good understanding of asynchronous request handling (Pub/Sub), threading and high performance enterprise systems. • Experience with RESTful APIs (JWT, FastAPI/Flask) and unit testing. • Curious about new technology, able to change quickly. • Preferred Qualifications: MS in Computer Science or equivalent education/experience. • Familiar with data stack applications like SQL Database, Data warehouse, Kafka etc. • Knowledge in Business Intelligence, Artificial Intelligence, and Machine Learning.

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