Top Python Developer Jobs in Delhi

As a Backend Engineer, you will develop and maintain core backend infrastructure, build integrations, and work closely with frontend engineers to enhance user experience.

As a Senior Backend Engineer, you will develop and maintain backend systems, collaborate with frontend teams, and leverage AI for finance solutions.

As a Staff QA Automation Engineer, you'll automate software deployment processes, enhance tools for testing, and support cloud infrastructure. You'll collaborate with distributed teams and deliver enterprise-grade products.

Implement, configure, and customize Actimize ActOne Case Management and STAR modules, build integrations (alert ingestion, RCM APIs, UI Java plugins), create custom forms/plugins, configure users/roles/workflows/LDAP, and write complex SQL for AML-related transaction monitoring and reporting. Provide presentations and stakeholder communication.

The Integration Engineer will execute system validation tests, conduct HW & SW integration testing, and design automated tests for SolarEdge products.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

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

Analyze repayment trends and optimize collections strategies by leveraging large datasets. Develop automated systems to improve customer experience while minimizing Non-Performing Loans.

As a Machine Learning Engineer, you will build and maintain ML infrastructure, develop credit models and collaborate on data-driven features. The role requires extensive hands-on experience in ML engineering within production environments.

The Applied AI Researcher will design experiments, train models, and build pipelines for a GenAI platform while contributing to research and deploying systems in production.

Develop software for ML algorithms, build core products, manage data processing pipelines, and oversee technical leadership of the team.

The Senior Site Reliability Engineer will manage cloud infrastructure, develop internal DevOps tools, and enhance automation for application deployment and management.

Responsible for leading end-to-end AI research projects, developing domain-specific models, mentorship, and optimizing research-to-production processes while collaborating across disciplines.

The Principal Applied AI Researcher will define and lead domain-specific model strategies, manage model lifecycle, mentor researchers, and influence platform decisions in AI research.

Lead technical development of AI solutions for finance automation, mentor teams, integrate AI with enterprise systems, and present to executives.

Analyze user behavior and product performance to deliver actionable insights, driving product decisions. Collaborate with cross-functional teams and create data visualizations to influence product strategy.

The role involves building and maintaining automated test suites, collaborating with teams to ensure software quality, analyzing test results, and mentoring junior engineers.

Lead a team of engineers to evolve the architecture and strategy of the AI Search platform, ensuring high-performance search systems meet strict operational metrics, while nurturing talent and fostering a collaborative culture.

Develop and optimize machine learning models, manage project priorities, and improve real-world solutions using advanced ML techniques.

Develop and maintain backend solutions for Machine Learning infrastructure. Collaborate on large scale software design and project management.

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

As an Associate Technical Consultant, you'll support ServiceNow platform implementations, build applications, collaborate with stakeholders, and participate in training to enhance your skills.

The AI QA Specialist will design and execute test strategies for AI systems, validate model outputs, implement monitoring dashboards, and ensure compliance with safety standards.

The Lead BigQuery / Graph DBA will design and optimize cloud-native data warehouses and graph databases, focusing on performance, integration with AI, and data governance.

Design and implement production-grade AI models and algorithms, lead AI initiatives across organizations, enhance Agentic AI capabilities, and collaborate with teams to develop high-impact AI features.