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Top Python Jobs in Bengaluru
The AI Backend Developer will lead backend development and data analysis focused on Generative AI applications. Responsibilities include creating AI-driven data products, collaborating with diverse teams, managing API deployment, and providing technical guidance while integrating new developments in Generative AI.
As a Machine Learning Engineer at Zeta Global, you will deliver machine learning models to production, work collaboratively with cross-functional teams, and empower decision-making through data-driven insights. The role requires hands-on experience in building, deploying, and managing machine learning systems, along with a strong foundation in containerization, cloud services, and workflow management tools.
As a Principal Machine Learning Engineer, you will lead projects involving AI and ML algorithms to innovate IT Operations, enhance problem-solving approaches, and mentor junior engineers. You will collaborate across teams, tackle complex challenges, and have a direct impact on product performance and customer satisfaction.
The Sr. Site Reliability Engineer at BlackLine will manage the performance and operational aspects of applications and services, implement DevOps practices, and facilitate multi-release technical projects. Responsibilities include developing effective tools and processes, ensuring service availability, and collaborating across teams. The role emphasizes problem-solving, documentation, and strategic planning to support the company's cloud-based services.
As a Senior Software Engineer at BlackLine, you will design, develop, and optimize cloud-based backend services, ensure high-quality software releases, mentor junior engineers, and collaborate with various teams to innovate their product suite, all while adhering to coding standards and timelines.
The Senior Manager, Software Engineering will lead a cross-functional team in enhancing a cloud-based SaaS web application, providing technical leadership, driving innovation, and managing project requirements for successful delivery. Responsibilities include team management, mentoring, process improvement, and effective communication with stakeholders.
As a Staff Software Engineer at BlackLine, you will design, develop, and optimize cloud-based backend services, mentor junior engineers, and collaborate with teams to implement new features and improve existing ones. This role emphasizes innovation, technical leadership, and maintaining software quality while driving the company's success in finance automation.
The Senior DevOps Engineer will develop, test, debug, and manage containerized applications on Kubernetes, design cloud infrastructure on AWS and Azure, enhance CI/CD pipelines, implement monitoring solutions, and maintain security practices. The role requires collaboration with development and operations teams and involves automation of infrastructure management.
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The Lead Engineer for Revenue Management Cloud Operations is responsible for ensuring the health of revenue management platforms, handling production incidents, automation of CI/CD pipelines, root cause analysis, and developing operational strategies for minimizing failures and downtime while maintaining documentation for team processes.
Perform robotic simulation and manufacturing assessment studies for various product programs. Drive development, testing, and implementation of new technologies in virtual simulations.
The Tableau Administrator will manage Tableau Server infrastructure, ensuring seamless operation, uptime, and performance optimization. Responsibilities include user management, security setups, troubleshooting, and collaboration with cross-functional teams for effective data governance and compliance.
As a Senior Lead Software Engineer at Capital One, you'll design innovative solutions, advocate for tech standards, enhance engineering culture, guide stakeholders in technology choices, and collaborate effectively with teams across the organization.
The Network DevOps Engineer will develop and manage Cargill's software-defined network infrastructure, focusing on automation and operational excellence using modern DevOps practices. Responsibilities include designing APIs, collaborating with engineering teams on automation requirements, and sharing best practices.
The Senior Engineer will collaborate with development team leads on assigned tasks, communicate effectively, and explore new technologies. The role requires handling challenges in a fast-paced technical environment, contributing to projects, and leveraging expertise in Go, Linux, and microservices.
The Automation Software Engineer III is responsible for designing, developing, and troubleshooting software solutions within an agile team. Duties include producing architecture artifacts, maintaining high-quality code, improving systems through data analysis, and contributing to team culture. A focus on automation testing and modern programming languages is essential.
The Senior Software Engineer is responsible for building and maintaining the Data Platform and enterprise Data Warehouse at Toast. This role involves designing and implementing ETL pipelines, optimizing machine learning models, and collaborating with various stakeholders to enhance data capabilities.
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 Data Engineer will develop secure data solutions, optimize data engineering pipelines, ensure alignment with architectural standards, and support cloud transformation initiatives. Responsibilities include mentoring junior team members, working with stakeholders to deliver solutions, and owning the delivery of data pipelines.
The Lead Data Engineer will develop secure data-oriented solutions, optimize data engineering pipelines, review architectural designs, and support data transformation initiatives. They will mentor junior team members and act as a Product Owner, ensuring feature delivery and working with stakeholders across the organization.
The QA Automation Engineer is responsible for designing, developing, and executing automated test scripts to ensure software quality. This role involves collaborating with teams to create test plans, executing tests, analyzing results, participating in code reviews, and continuously improving automation processes.
As an IT Automation Engineer, you will lead the design and implementation of automation systems, develop and maintain automation scripts, manage infrastructure-as-code solutions, and support applications to enhance efficiency and scalability within the organization.
The IS Specialist (Data Management Lead) will oversee data management initiatives, lead technical meetings, manage MDM incidents, support project management tasks, and provide leadership for data governance projects, ensuring compliance and data quality.
You will lead the QA efforts for SD-WAN product offerings, focusing on cellular and wireless capabilities. Responsibilities include designing test strategies, performing tests, developing automation scripts, mentoring junior engineers, and identifying improvements in test methodologies.
The Senior Software Engineer will design and implement scalable backend services, develop RESTful APIs, manage database interactions, create microservices architectures, and optimize code for performance. Responsibilities include testing, debugging, and working with cloud infrastructure and DevOps processes to ensure high-quality software delivery.
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