Top Tech Jobs & Startup Jobs in Pune

As a Senior UX/UI Designer, you will lead UX for complex Network Intelligence products, design scalable interfaces, and collaborate with cross-functional teams.

Seeking a Senior DevOps Engineer to maintain infrastructure tools, develop automated solutions, and collaborate across engineering teams to enhance a centralized monitoring platform for security investigations and cyber threat prevention.

The DevOps Automation Engineer will perform manual and automated testing of infrastructure-related code, work with DevOps engineers on integrations, and enhance test automation efficiency.

The Senior ML/AI Research Engineer leads a team to integrate ML and AI algorithms into products, mentors team members, develops data pipelines, evaluates models, and drives innovative research projects to enhance product capabilities.

As an Applied Data Scientist, you will develop and implement machine learning models, collaborate on data processing pipelines, analyze model performance, and communicate insights to stakeholders.

As a Front-end Engineer at Cognyte, you will develop high-performance web applications and oversee the automation infrastructure lifecycle within a cross-functional agile team, while mentoring team members and collaborating closely with global teams to address complex challenges.

Support big data infrastructure for enterprise customers, handling installations, upgrades, monitoring tools, and providing emergency support. Requires travel to customer sites.

Develop and maintain high-performance front-end web applications, oversee the automation development lifecycle, and collaborate with global teams to solve complex problems.

Looking for a Software Engineer to develop reliable and secure software using C++/C# and participate in design, testing, and resolution tasks.

Design, build, and maintain data infrastructure and pipelines to support machine learning workflows. Implement and optimize data storage and databases, integrate ML models into pipelines, ensure data quality and metadata management, document data assets, troubleshoot performance issues, and support research team data needs while proposing improvements and staying current with data engineering best practices.