Top Python Developer Jobs in Delhi

Seeking a Senior Backend Engineer for AI model serving; responsibilities include backend development, infrastructure optimization, and deploying TTS/NLP models.

As a Machine Learning Engineer, you will develop AI solutions, own AI features, integrate ML into CI/CD, mentor peers, and work on infrastructure challenges.

The Operational Engineer II will support and manage the cloud-based Ascendon Core Billing platform, focusing on incident response, deployment, and collaboration to ensure system performance and reliability.

The Gen AI Engineer is responsible for designing and developing AI agent workflows, leading code reviews, integrating with enterprise systems, and ensuring robust, secure implementations.

The CloudOps Engineer is responsible for designing, deploying, and maintaining cloud infrastructures in AWS, focusing on IaC, containerization, CI/CD practices, and ensuring security and compliance in cloud environments.

Develop and maintain secure, fault-tolerant software solutions on AWS, ensuring quality through testing, investigating production issues, and collaborating with teams.

Design and develop backend systems for SentinelOne’s Endpoint Protection services, integrating with cloud services and optimizing performance while collaborating across teams.

Design and develop backend systems for SentinelOne's Endpoint Protection, focusing on feature design, database management, and collaboration across teams.

The Sr. Software Engineer will lead SaaS development projects, optimize applications for performance, and mentor junior engineers, focusing on government efficiency and accountability.

The Lead Software Engineer will design and manage full stack applications, build APIs, ensure code quality, mentor junior engineers, and optimize development processes.

You will implement scalable services, write maintainable code, participate in reviews, and improve automation and operational reliability.

Seeking an AI/ML Engineer with 4+ years of experience to design, develop, and implement AI models and solutions, collaborating across teams to translate enterprise needs into practical applications.

Develop and improve low latency options trading systems using Rust and C++. Collaborate with a global remote team and take ownership from requirements gathering to deployment.

The Senior DevOps Engineer will design, develop, and maintain AWS cloud infrastructure for a SaaS business, focusing on collaboration and documentation, and managing CI/CD pipelines.

As a Salesforce QA Lead, you'll establish and build a QA function, execute testing across multiple Salesforce projects while mentoring a team and enhancing efficiency with AI.

The Senior Software Engineer - Analytics designs and maintains scalable backend systems, drives architecture, collaborates on features, and mentors junior engineers.

The Solutions Engineer designs and delivers enterprise IT solutions on the CommandLink platform, collaborating with customers and technical teams to ensure successful implementation and adoption.

The DevOps Engineer will manage ENS infrastructure, automate deployments, enhance security, and collaborate with engineers to ensure reliability in production systems.

Develop and maintain core components of a Quote Engine, focusing on creating scalable, resilient services and collaborating with teams to align features with business goals.

The Senior Full Stack Developer will design, build, and maintain features for a SaaS platform, focusing on backend and frontend development, API integration, and team collaboration.

Develop and maintain features in both backend and frontend, ensuring reliability and scalability while collaborating with cross-functional teams.

The Staff Platform Engineer will lead the architecture, development, and scaling of API-based transaction processing systems, ensuring reliability and performance while mentoring other engineers.

Design and optimize data models and pipelines within Snowflake for AI applications, ensuring data quality and efficient processing.

The Senior Data Scientist will lead the development of ML solutions focusing on predictive modeling and MLOps, utilizing Snowflake and advanced algorithms to drive business innovations.

The Lead Python Engineer will design, implement, and manage microservices and workflow systems, ensuring high reliability and performance for AI-driven applications, while mentoring other engineers.