Top Python Developer Jobs in Delhi

Lead the design and implementation of scalable distributed data systems and provide technical leadership, ensuring high data processing and integration efficiency.

Lead the development of scalable cloud services for risk insights, build APIs, establish CI/CD processes, and mentor peers.

Lead the design and implementation of scalable and resilient components for an observability platform, ensuring high reliability and performance across distributed environments.

Design and develop machine learning infrastructure and models to enhance user experience. Collaborate with teams on AI integration and data lifecycle management.

As a Backend Software Engineer, develop and improve Bloomreach's multi-tenant search infrastructure, leveraging cloud technologies and machine learning for enhanced performance and scalability.

The Senior Credit Analyst will analyze data to drive product changes, monitor credit policy, and support portfolio management to enhance profitability.

The Site Reliability Engineer will monitor and ensure the reliability and performance of platforms using ELK and TICK stacks, bridging development and operations.

The Data Engineer will design, build, and maintain scalable data pipelines using Databricks, integrating data into systems and ensuring data quality and performance while collaborating with stakeholders.

As a Senior Machine Learning Engineer at MediaRadar, you will design, implement, and optimize ML solutions for data products, focusing on retrieval and relevance, model evaluation, and operational excellence.

As a Senior+ Engineer, you will lead the design and architecture of impactful open-source projects while mentoring teams, coding, and engaging with the community.

Provide end-to-end support for customer issues, manage defect escalation, and communicate with cross-functional teams to ensure customer satisfaction.

Design and implement testing strategies and automation solutions for complex product features, owning the automation roadmap and improving quality across teams.

The Junior Saviynt Engineer will implement, configure, and manage the Saviynt Identity Governance and Administration platform, focusing on workflows, provisioning, and identity lifecycle management while ensuring compliance with best practices.

Design, develop, and maintain full-stack applications, integrate AI workflows, develop microservices, optimize performance, and manage deployment pipelines.

Conduct thorough penetration testing of iOS and Android apps, identifying vulnerabilities, developing exploits, and collaborating with teams to enhance mobile security.

As a Senior Platform Engineer, you will design and support cloud solutions, automate processes, build CI/CD pipelines, and collaborate with teams to address operational issues.

Lead AI/ML projects, design scalable architectures, translate business needs into technical solutions, and ensure best practices in implementation.

The role involves architecting and implementing Generative AI solutions, collaborating with teams to meet business needs, and ensuring production-level code is maintained and scalable.

The role involves architecting and implementing Generative AI solutions using LLMs, prompt engineering, Python coding, and managing AI deployments on cloud platforms like Azure and AWS.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.

As a Staff SRE, you will set the technical direction for reliability, lead large projects, mentor engineers, and solve scalability challenges across teams.

The role involves designing and developing Agentic AI applications, leading a global engineering team, and ensuring security and compliance in deployments.

The Site Reliability Engineer ensures scalability and reliability of infrastructure and applications through automation and incident response while collaborating with DevOps teams.

The Senior Machine Learning Engineer will work on the Predictions workspace, developing predictive models for supply chain challenges and ensuring seamless user experiences through orchestrated workflows.

The Senior AI QA Engineer will oversee test planning, automation framework development, API testing, and ensure high-quality AI solutions. Responsibilities include end-to-end testing across AI/ML systems, collaboration with data and DevOps teams, and mentoring junior QA members.