Top Python Developer Jobs in Delhi

The Principal Engineer will design data warehousing and analytics platforms, lead engineering practices, mentor junior engineers, and drive scalable solutions for data integration and processing.

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

The role involves supporting and maintaining the Azure Data Platform by managing incidents, monitoring performance, and optimizing database operations. Responsibilities include troubleshooting ADF, Synapse Analytics, and ensuring data security compliance.

This role involves building and scaling the core product, owning parts of the backend stack primarily in Python, and collaborating closely with the founding team.

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.

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

As a Solutions Architect at phData, you will design and implement data solutions, mentor engineers, and develop technical solutions for cloud platforms.

As a Software Engineer, you'll refine and scale an AI-powered hiring platform, improve AI interview experiences, and build recruiting engine functionalities.

The Platform Engineer will build and maintain internal developer tools, manage cloud resources, support DevOps practices, and enhance system observability, ensuring seamless operations for engineering teams.

The Senior Data Scientist will design and implement data solutions, mentor junior team members, and stay updated with industry practices.

Lead the development of Agentic AI applications, focusing on autonomous decision-making and deployment of generative AI models while collaborating across teams to enhance AI capabilities and innovations.

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.

The role involves leading AI solutions development, mentoring teams, making architectural decisions, optimizing AI models, and ensuring best practices in AI-driven development.

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

As a GCP Data Engineer Lead Consultant, you will design and implement data solutions on GCP, optimize performance, and mentor junior engineers while collaborating with cross-functional teams.

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.

The role involves building scalable ML/AI applications, implementing models in production, and defining best practices in ML operations. The engineer will lead projects, support juniors, and engage with teams.

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.

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

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

The role involves data analysis, modeling, and managing requirements for software delivery, ensuring data quality and compliance with specifications.