Top Python Developer Jobs in Gurgaon

The Senior Staff Engineer will lead the design and implementation of a new platform for AI applications using MongoDB, mentor engineers, and improve system performance and scalability.

Seeking a Software Engineer to develop scalable AI application infrastructure, mentor peers, and improve distributed systems performance.

Responsible for IMS Core network design, deployment, optimization, and performance management. Engage with customers in troubleshooting and quality analysis.

Design, build, and maintain Python-based platforms for LDI investment workflows, focusing on Generative AI initiatives and data strategy.

The Associate Testing QA Engineer is responsible for designing and executing test plans, conducting testing, identifying defects, and improving QA processes, requiring collaboration with developers and maintaining test environments.

The Network Operations Engineer will handle technical support, manage network maintenance, optimize monitoring systems, support incident management, and implement automation for incident resolution.

As a Senior Analytics Engineer I, you will design and develop analytics solutions, ensuring data integrity and driving insights across MongoDB's datasets.

Lead the design and implementation of Netcool solutions, integrating multi-vendor environments, managing complex troubleshooting, and mentoring junior engineers in DevOps practices.

The ICT Solution Manager will drive end-to-end solution design and deployment for 5G Cloud Core and EIAP platforms, lead the solution lifecycle, and ensure CI/CD readiness while collaborating with multiple teams.

The Senior Core Network Engineer will manage project delivery, conduct performance optimization, handle design planning for IMS networks, and improve customer satisfaction through KPI analysis and troubleshooting.

As a Vice President in Application Engineering, you'll lead the development of high-performance back-end systems, mentor teams, and collaborate with cross-functional groups to ensure effective technical solutions in a data-driven environment.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

The role involves collaborating with teams to design and implement technology solutions, manage project tasks, mentor junior staff, and ensure high-quality deliverables.

Develop and expand core parts of a platform for AI applications using MongoDB. Responsibilities include writing high-level software, collaborating with teams, and maintaining quality in software development.

Responsible for developing core components for AI applications on a new platform, mentoring engineers, and collaborating across teams to shape architecture and delivery.

The Staff Engineer will lead the development of a scalable AI application platform, mentor engineers, and enhance system reliability and performance.

Lead, mentor, and manage an engineering team to develop a new platform for AI applications, ensuring performance and scalability.

Lead the design and delivery of IBM Netcool solutions, managing multi-vendor integrations and implementing DevOps practices while mentoring junior engineers.

Lead and manage the engineering team, define product strategy, ensure operational excellence, and drive innovation in building a new platform for AI applications.

Collaborate with teams to gather technical requirements, design features, write production-ready code, and manage ML lifecycle in a consulting environment.

Lead the design and development of backend microservices and AI-driven solutions, mentor junior engineers, and ensure code quality while collaborating across teams.

Lead the development and architecture of the Client Reporting platform, focusing on distributed systems and AI integration while managing global teams and stakeholder relationships.

As a Development Engineer 3, you will design and develop high-performance workflows and troubleshoot systems while collaborating across teams.

Seeking a Site Reliability Engineer to support real-time distributed environments, perform capacity planning, and manage application migrations. Candidates should be knowledgeable in UNIX/Linux, networking, SQL, and scripting with Python.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.