Top Python Developer Jobs in Delhi

The Product Analyst supports the Product Team by enhancing products, analyzing data, collaborating with stakeholders, and managing projects to align business operations and needs.

Join Miratech as a Junior Python Engineer to develop applications and data pipelines with SQL expertise, focusing on AI and ML solutions.

Lead the design and implementation of scalable data engineering solutions on Azure, optimizing performance and mentoring teams. Ensure data quality and security while delivering analytics-ready datasets through collaboration.

As a Senior DevOps Engineer, you will build and maintain scalable cloud systems, improve CI/CD processes, automate deployments, and support engineering teams.

As a Solutions Engineer at Yahoo, you'll integrate data from various sources, troubleshoot platform issues, and enhance audience targeting. You'll collaborate with sales teams and third-party partners, using your technical expertise to drive revenue and improve user experiences. Your role also includes managing complex projects and maintaining documentation for data integrations.

The Senior Data Engineer will design and develop ETL pipelines and data products for financial systems, ensuring data quality and collaboration with finance stakeholders.

As a Technical Support Engineer I, you will provide first-line technical support, troubleshoot issues, manage ticket lifecycles, and assist in user account management while ensuring smooth operations.

As a Technical Support Engineer III, you will manage complex technical incidents, oversee automation efforts, and guide junior engineers, ensuring high system availability and performing detailed root cause analysis.

As a Technical Solutions Engineer II, you'll support end user computing solutions, assess technology needs, implement new technologies, and troubleshoot hardware/software issues in a cloud-first environment.

Lead technical execution during M&A, managing integrations of systems like Okta and cloud environments, ensuring zero downtime and compliance during acquisitions.

Lead the development of ML infrastructure, design scalable ML pipelines, mentor junior engineers, and collaborate to deploy advanced ML solutions in a fintech environment.

The Information Specialist I develops and maintains data and business intelligence solutions, focusing on reports, dashboards, and data quality. They collaborate with teams to address reporting needs and assist in KPI development.

Develop high-quality engineering solutions for Merch Tech tools, build workflows and APIs for merchants, and ensure fast iteration and ownership.

Lead the architecture and evolution of Bloomreach's Search platform, mentoring engineers, shaping technical strategy, and ensuring system performance and scalability.

The Lead DevOps Engineer will design and manage CI/CD pipelines, develop Infrastructure-as-Code, scale container orchestration, and implement MLOps best practices alongside cloud infrastructure optimization.

Responsible for designing, developing, and maintaining data pipelines, ensuring data quality, writing complex SQL queries, and collaborating with team members.

Lead the development of technology stack for OTT & Media, focusing on content ingestion, system integration, and high-performance services. Responsibilities include API design, system improvements, and mentorship.

Lead the development of embedded software for high-speed fiber optic transceiver products, including design, implementation, and testing in a real-time environment.

The role involves developing and maintaining automated test cases, validating optical networking systems, and collaborating with engineering teams on test software and defect resolution.

The Sales Engineer at SigNoz will design observability solutions, create technical documentation, implement customer codebases, and collaborate on product improvements.

The AI/ML Architect will develop, deploy, and maintain AI and machine learning models while utilizing cloud services and big data technologies for scalable applications.

As a Customer Facing Data Scientist, you'll support customers through pre-sales and ongoing engagements, leveraging AI and data science to solve complex problems, collaborate with various stakeholders, and present at conferences.

The Backend Engineer will design robust APIs and services for financial solutions, mentor peers, and collaborate across engineering teams, focusing on scalability and functionality.

As a Hybrid QA Engineer, you will ensure the quality of releases through manual and automated testing across web and mobile platforms, aiding in the development process and mentoring junior team members.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.