Job Location: Bangalore/Bengaluru
Why should you work for this company?
A chance to work with foremost professionals in AI and Deep-learning domain.
Working on cutting edge technology like Computer Vision, Network Model Accuracy, High Value Video transit & Storage, Big Data Analysis and so on.
An opportunity to work on transforming the multi-trillion dollar manufacturing sector world wide by the Power of AI
Job Responsibilities
Delivering product functionalities in a fast and time bound manner.
Writing client-side/backend code for web-based applications, architecture designs, and developing prototypes quickly.
Designing and building a web ecosystem that drives the business and meets the functional needs of our customers and partners.
Desired Candidate Profile:
Education: Bachelors or Masters in Computer Science from Top Tier Engineering Colleges
Work Experience: 5-10 years experience
Key Skills:
Experience building and managing a cross-functional team of engineers working across different projects
Ability to run a diverse team and deliver product features in a time-bound manner
Experience building a product end to end, from a concept or early design to scale – preferably in a fast-moving cutting edge tech startup
Deep hands-on expertise in python and systems deployment, with a close understanding of Kubernetes, Docker, CI-CD, metrics/reporting / monitoring tools
Experience using MySQL, MongoDB, and other modern databases
Understanding of requirements of and building for enterprise SaaS products, including aspects of security, authentication/authorization, firewall
Experience in building edge and/or multi-cloud SaaS products, including use of a mix of Google cloud / AWS / Azure and thinking edge-based solutions on NetApp / Nvidia / Anthos / others
Deep familiarity with a cloud-based setup, preferably GCP, including networking, security & monitoring mechanisms & settings therein
Ability to think systems design, aligning various constraints, dimensions and work with a team hands-on to build it out – keeping in various dimensions of practicality, timeline, performance, and scalability
Quick and agile in execution with self and with the team, without compromising any design principles or guidelines
Compensation: Best in Class
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