Top Python Developer Jobs in Delhi

As a Solutions Engineer, you'll work closely with national security partners to develop and deploy software solutions, while providing technical consultation and support.

The Senior Big Data Engineer will manage customer engagements, develop big data architectures, and guide clients in utilizing the Databricks platform effectively.

Develop software for evaluation platforms used to debug, test, and demonstrate networking devices, focusing on data handling and visualization tools.

The ML Product Owner will shape the supply chain platform by developing forecasting capabilities, collaborating with teams to enhance decision-making using machine learning.

As a Data Engineer, you will design and maintain data pipelines, enhance blockchain reporting, and ensure data quality while integrating external data sources and working with various teams.

The AI/ML Engineer III translates business goals into ML metrics, leads ML model development, and oversees deployment and monitoring of AI solutions, driving innovation and collaboration across teams.

The role involves collaborating with Data Science teams to implement and manage ML models, designing GenAI solutions, and automating ML operations, while establishing best practices in ML lifecycle management.

Provide Level 2 production support for CSG billing and provisioning products, troubleshoot errors, liaise with customers and R&D, perform application health checks, manage tickets and KPIs, deliver installations, support on-call shifts, and work with monitoring, CI/CD and automation tools.

Lead a team in technical incident resolution, customer support, product analysis, and operational management while ensuring high customer satisfaction.

Manage and optimize Google Ads campaigns, analyze performance data, and collaborate with teams to enhance ROAS/CPA while ensuring tracking and reporting effectiveness.

The role involves building cloud systems, automating deployments, managing on-call rotations, developing monitoring scripts, and ensuring system reliability.

Lead the architecture and engineering of a global identity fabric, focusing on seamless access management for users and identities without manual intervention.

The AI/ML Engineer II is responsible for designing, developing, and deploying AI/ML solutions. They work closely with product management and engineering teams to translate business problems into scalable AI systems, focusing on model optimization, cloud deployment, and cross-functional collaboration.

The Site Reliability Engineer will enhance platform reliability, scalability, manage service health, and automate operational workflows, ensuring exceptional system performance and customer experience in a regulated environment.

The SDET will develop automated tests, support CI/CD pipelines, collaborate with teams on testing strategies, and enhance test frameworks using various tools and languages.

The Senior Site Reliability Engineer will architect and manage scalable infrastructure, enhance system reliability, mentor engineers, and lead AI enablement efforts.

As a Technical Customer Support Specialist, resolve complex issues for B2B customers, provide technical support in Mandarin and English, document processes, and identify product gaps to enhance the user experience.

The role seeks an AI Lead to drive Generative AI and Computer Vision projects, focusing on precise visual transformations and model training while mentoring engineering teams in best practices.

The AI Lead will design, develop, and implement AI solutions to enhance the SDLC stages, mentor teams, and ensure responsible AI practices.

As a Senior Systems Engineer, you will design, deploy, and maintain hybrid cloud monitoring solutions, focusing on system performance, reliability, and scalability while participating in Agile Scrum teams.

The role involves developing and executing test plans for software/hardware testing, implementing BDD frameworks, and leading quality assurance efforts. It requires collaboration with development teams and knowledge of Cloud platforms, testing tools, and CI/CD.

As a Software Engineer in Test, you will develop and maintain test automation frameworks, conduct manual and automated testing, collaborate with teams to resolve defects, and streamline automation processes within Agile teams.

The Associate Principal, SOX Analytics will analyze data, build automations for SOX compliance, and enhance risk assessment capabilities while leveraging analytics and AI.

The AI/ML Engineer II will design, develop, and deploy scalable AI/ML solutions, optimize model performance, and integrate AI into products. The role requires collaboration with various teams and knowledge in deploying solutions to cloud environments.

Lead the data platform that powers products and AI workflows, managing infrastructure and ensuring reliability and data governance while mentoring remote engineering teams.