Data Engineer for Cloud Infrastructure

4 days ago


Delhi, Delhi, India NeST Digital Full time

We are not just a company dreaming of the future – we are shaping it. At NeST Digital, the core software division of the NeST Group, one of the key global providers of technology solutions, you will propel digital-driven innovation and have a remarkable track record of delivering cutting-edge solutions across different industry domains.

Our team is passionate about leveraging state-of-the-art cloud technologies to bring intelligent execution to the world of intralogistics and warehouse automation. We synchronize the discrete and low-level logistics related processes to create a real-time decision engine that drives labor and equipment at the highest efficiency.

We are looking for a highly motivated individual who can develop cutting edge MLOps and DevOps frameworks to deploy AI models in our Warehouse Execution Software. This software provides customers the operational agility they need to efficiently handle the demands of an Omni-channel environment.

The ideal candidate should have a solid grasp of best-in-class deployment architectures/frameworks and production-grade software. Creativity, out-of-the-box thinking, and a fondness for experimentation are a must when tackling novel problems.

We offer a competitive salary of $120,000 - $150,000 per annum, depending on experience, plus benefits such as opportunities for professional growth and development in a dynamic environment.

This role requires strong team and interdisciplinary collaboration to see products through the development cycle from beginning to end. You will work closely with AI scientists to accelerate productionization of ML algorithms and setup CI/CD/CT pipelines for ML algorithms.

Key qualifications include a MS in Computer Science, Software Engineering, or equivalent field, experience with Cloud Platforms (GCP and Azure), and fluency in at least one general-purpose programming language (Python or Java preferred). Strong DevOps skills are also required, including Linux/Unix environment, testing, troubleshooting, automation, Git, dependency management, and build tools.



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