Top Python Jobs in Bengaluru

The Senior Infrastructure Engineer will lead the implementation and maintenance of IT infrastructure while ensuring system performance and reliability. Responsibilities include managing virtualized environments, writing automation scripts, and collaborating with vendors to resolve issues. The engineer will also guide performance monitoring initiatives and support team members in a fast-paced environment, with a strong focus on creativity and innovation.

The Senior Systems Engineer is responsible for implementing and maintaining IT infrastructure, ensuring system availability and performance, overseeing critical infrastructure alerts, and providing support. The role involves installation, configuration, and debugging of various systems and automation tools, while maintaining documentation and collaborating with cross-functional teams.

The Senior Data Scientist will work within the AI, Systems, and Technology team to develop and implement machine learning algorithms, train models, and collaborate with cross-functional teams. They will focus on enhancing AI/ML functionality for customer support and sales, requiring effective communication with stakeholders and proficiency in various machine learning methods.

Principal Engineer on ITSM team working on cutting-edge AI and ML algorithms to modernize IT Operations by reducing MTTR and MTTI, leading projects, collaborating with teams, and shaping future of AIOps.

The Senior QA Automation & Tooling Engineer will design and maintain automation frameworks, collaborate with teams to identify automation needs, build custom applications, provide technical leadership, troubleshoot existing tools, and monitor automation metrics while staying updated on industry trends.

The Senior Software Engineer will design and enhance data infrastructure, focusing on real-time and batch processes, data quality, ETL development, and collaboration with analytics and product teams. Responsibilities also include participating in architecture discussions, managing data systems, and being available for on-call support.

The Data Specialist will analyze customer requirements and data accuracy, research data specifications, manage data through the ETL process, and work on cloud computing solutions. Responsibilities include statistical analysis, data visualization, and predictive modeling while utilizing agile methodologies and effectively communicating complex concepts.

As an Advanced Data Science Associate, you'll develop advanced algorithms, apply statistical techniques, and collaborate to analyze data trends and emerging technologies.