There has never been a better time to indulge in the science and technology of Artificial Intelligence. Join a high performing, elite, well experienced team (worked at Google, Amazon, Uber and Facebook; key developers of BigQuery, GMail, Amazon Personalize; come from CMU, MIT, IIT, Stanford, Cal and Cornell), working on some holy grail problems in Machine Learning Systems (a next generation enterprise AI/ML platform that can automatically build custom models for a variety of business problems).
We are looking for talented backend software engineers, machine learning software engineers and research scientists to be part of the founding team. You will help build the product that applies unsupervised learning to model the world and automatically creates and manages production grade AI systems. As an initial member of the founding team, you will own a significant chunk of the company, shape its culture and work on state-of-the-art science and technology.
Responsible for building out a cloud runtime for an AI engine...
Experience building production applications which use ML/AI is a plus.
Responsible for implementing various algorithms to do automated feature extraction and dataset augmentation, optimizing runtimes of neural network algorithms and building higher-level abstractions for various common AI/ML techniques. As an ML engineer, they will also work cross functionally amongst other engineers, on common ML operation tasks such as ML data management and training and model deployment, as well as build systems that are scalable.
Candidates will need to have a BTech or MTech in computer science from an accredited university OR have 5 years of professional work experience. In addition, we are looking for software engineers on above mentioned norms.
Responsible for evangelizing our state-of-the-art AI services and closing pivotal deals. You will be in-charge of all aspects of the sales funnel including prospecting for leads, building customer relationships and closing deals.
Candidates will need to have a BTech or MTech in computer science from an accredited university OR have 5 years of professional work experience. In addition, we are looking for software engineers on above mentioned norms.
Responsible for building, tuning and operating the entire infrastructure that powers Abacus.AI's multi-cloud SaaS products. We have a modern technology stack built on Kubernetes, Spark, TensorFlow, Python, Go, Mysql & Redis
Preferred : Operating Kubernetes clusters ,Experience with ML Ops: Spark, TensorFlow, GPUs, Experience with Terraform, Hands-on experience with network security, databases system
Responsible for coming up with new techniques in unsupervised learning, dataset augmentation and deep reinforcement learning that can be applied to automating various parts of the AI development workflow. Candidates will need to have a BTech or MTech preferably in Artificial Intelligence or Machine Learning or Full stack . We are looking for people who have done research / published papers in one of the following areas:
Ideal candidates would be experienced at publishing at top conferences and be able to write code and ideate with the product team
We are here to help you with any questions you have about our services and courses.
Book a Consultation Call
