Top Python Developer Jobs in Delhi

Develop responsive front-end and robust back-end systems, collaborate on AI integrations, maintain databases, and implement DevOps practices. Emphasize on security and rapid prototyping in a dynamic, startup-like environment.

Lead the Analytics team at Bloomreach, overseeing a distributed data processing platform, mentoring engineers, defining technical roadmaps, and ensuring project delivery aligned with business goals.

The AI Platform Engineer will design and optimize AI/ML infrastructure, automate pipelines, and manage Kubernetes for effective machine learning model deployment and collaboration.

Lead backend development at Drivetrain AI, focusing on enhancing system efficiency, scalability, and data handling while optimizing application performance and collaborating with engineering teams.

The SDET/Senior SDET will develop and refine quality strategies, mentor team members, and enhance automation frameworks using Python and Javascript.

As an SDET for Custom Objects, you'll ensure the quality of data models and API interactions. Responsibilities include designing test cases, building automation scripts, and collaborating with product teams.

Design and implement Python-based automation frameworks for database lifecycle management, optimize relational database performance, and collaborate on API integrations in a 24/7 on-call rotation.

Design, build, and implement scalable, reliable production infrastructure and automation for microservice-based systems. Lead architecture initiatives, mentor engineers, define service interfaces, and translate nonfunctional requirements into operational solutions.

The Principal Statistical Programmer develops and maintains programming standards, collaborates with stakeholders, ensures data integrity, mentors junior programmers, and implements efficient programming solutions.

Develop and maintain data pipelines, APIs, and analytical systems. Mentor junior engineers and collaborate with teams to drive software development best practices.

As a Solutions Architect, you'll help organizations utilize Generative AI applications effectively, guiding them from strategy through prototype to production and ensuring tangible business value.

AlphaSense seeks team players with emotional intelligence and excellent communication skills. Emphasis on collaboration and personal growth in a technology-driven environment.

The Senior DevOps Engineer will design and maintain CI/CD pipelines, manage AWS infrastructure, and ensure system performance and security while collaborating with the engineering team.

The Python Data Engineer is responsible for developing Python applications, designing ETL pipelines, integrating APIs, and managing data solutions to enable data-driven decision making.

Lead the design and implementation of data automation solutions, oversee bot development, integrate systems, and establish automation frameworks while ensuring compliance and security.

The Sr Site Reliability Engineer will automate infrastructure provisioning, manage CI/CD pipelines, optimize monitoring solutions, and ensure service reliability, collaborating with U.S. SREs on incident response and operational readiness.

Industrial Engineer II roles involve improving operational efficiency through projects, utilizing Lean Six Sigma, and data analysis in supply chain settings.

Maintain and create data analyses and visualizations to inform program leadership. Gather stakeholder requirements, build ETL processes, develop dashboards/reports (Tableau), present actionable insights at monthly and quarterly reviews, and support data model and database design activities.

As a Senior AI Engineer, you will design and implement scalable AI systems, mentor junior engineers, and ensure impactful, ethical AI solutions. Responsibilities include collaborating with stakeholders and fine-tuning generative AI models.

The Financial Data Analyst will manage financial operations, build and maintain client P&Ls, forecast revenue, and engineer data systems.

The role involves developing data-driven features for pricing strategies, building analytical models for forecasting, and collaborating with teams to deliver insights.

Provide level II technical support for Numerix Oneview and NxCore, troubleshoot SaaS and on-prem deployments, recreate customer issues, coordinate with development and financial engineers to deliver resolutions or workarounds, demonstrate product usage, and engage with customers on architecture and implementation.

The Senior Software Engineer will develop and maintain applications using Java, NodeJs, or Python, and implement various frameworks and tools. Responsibilities include creating APIs, utilizing SQL Server, and adopting Agile methodologies. Strong communication and problem-solving skills are essential.

Lead product development teams across the SDLC, implement engineering best practices, drive architecture and deployments, manage scrum teams, integrate AI efficiencies, and align product strategy with business objectives.

Design, develop, and deploy Generative AI applications on GCP using Vertex AI. Build LLM-powered solutions (chatbots, summarization, document intelligence), implement RAG with vector databases and embeddings, manage token usage and prompt engineering, develop backend services/APIs, fine-tune models, and monitor and scale AI workloads while ensuring performance, reliability, and security.