Data Scientist

About OpsCruise

Digital business is driving a fundamental shift to cloud-native applications, creating a new set of operational and performance challenges ill-suited to the currently available solutions. At OpsCruise, we imagine a world of autonomous operations and are innovating a fundamentally different approach to performance management. OpsCruise’s vision is to automate the performance assurance of cloud applications using a model-driven closed-loop platform. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

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Team

The OpsCruise team represents a global and talented team that includes domain experts in IT Operations, Networking, Storage, Hyperscale Systems and AI/ML that have built market-leading solutions at companies such as Cisco, Google, Hitachi, HP, Infoblox, Oracle and VMWare among others.

Our engineering culture values creativity, pragmatism, honesty, and simplicity to solve hard problems the right way.

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The Opportunity

OpsCruise is mission-critical for many of the best companies in the world. Software developers and Ops engineers rely on it 24/7 to keep their stacks and infrastructure running smoothly. They trust it to notify them in the middle of the night when trouble is looming. Together with the team, you will define the future of this critical application that will be the next major platform in the IT operations management space. Your decisions will have a deep impact on both the product and the work lives of our customers.

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Requirements

• 3+ years experience in practical implementation and deployment of ML based systems preferred.
• BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
• Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow