Top Python Developer Jobs in Delhi

As an IT Systems Administrator, you will manage cloud services, provide IT support, implement security practices, and streamline helpdesk operations.

This role involves securing AWS infrastructures, implementing security controls, and automating security processes in a Fin-Tech environment. The position requires close collaboration with engineering teams to enhance system security.

You will architect and maintain secure multi-cloud infrastructure, automate provisioning, build observability solutions, and lead incident responses to ensure service reliability.

Lead the creation of complex PoCs for storage solutions across hypervisors and modern applications, demonstrating integrations with major cloud providers and automating deployments.

Lead development and implementation of generative AI solutions using LLMs and related tools. Perform data analysis, feature engineering, model development and evaluation, and collaborate cross-functionally to deliver production-ready AI applications with documentation and testing.

The DevOps Engineer will work with cross-functional teams to automate systems, manage cloud infrastructure, support on-call rotations, and ensure system availability.

Provide 24/7 support for OpenTable's global data platforms, focusing on database operations, maintaining high availability, backups, and performance optimization.

Lead enterprise automation architecture across RPA, low-code, integrations and AI-enabled automation. Define standards, design repeatable solutions, evaluate emerging technologies, and provide technical leadership, training, and oversight through planning, implementation, and operation.

Responsible for the end-to-end design, development, and deployment of Machine Learning models, collaborating with teams, and managing deployment lifecycles.

The Senior SDET will develop and implement test strategies, design automation frameworks, conduct manual testing, ensure software quality, and mentor junior engineers.

The Staff Machine Learning Engineer will design, deploy, and maintain scalable ML solutions, collaborate with teams, and enhance productivity through tooling.

Develop and maintain Python applications, collaborate with teams, write clean code, troubleshoot, participate in code reviews, and stay updated on industry trends.

The Data Scientist will implement GenAI systems, build components, support project delivery, analyze findings, and deliver technical solutions, focusing on NLP and deep learning.

The Azure Data Engineer Lead Consultant will oversee a data engineering team, ensuring best practices, project delivery, and providing technical guidance in data solutions.

Lead the data engineering team, providing technical expertise, mentorship, and project guidance while optimizing data solutions and ensuring compliance with industry standards.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

Design and develop scalable backend applications, optimize performance, ensure security, mentor junior developers, and maintain DevOps practices.

Design and oversee data architecture, ensure compliance, create data processing frameworks, and lead data engineering teams. Collaborate with stakeholders to meet business needs.Data governance and performance optimization included.

The Azure Data Engineer will provide technical expertise and direction, support project management, design data solutions, ensure quality standards, and maintain compliance with security regulations in a cloud environment.

The role involves managing application performance, developing monitoring tools, and leading improvements in cloud services while participating in on-call rotations.

Design, build, and scale backend systems for the Made Card platform, focusing on system design, database optimization, API delivery, and performance reliability while mentoring junior engineers.

Lead QA for mobile/web products, define test strategies, conduct manual/automated testing, mentor colleagues, and ensure software quality.

Lead development of full stack applications using AWS and Python to support analytics and machine learning, guide junior developers, and collaborate with stakeholders.

Join the Financial Crime Technology team as a QA Automation Engineer, focusing on automated testing for applications that prevent financial crimes. Collaborate with cross-functional teams, design testing scripts, and improve automation frameworks.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.