Top Python Developer Jobs in Delhi

Develop and integrate autonomy and edge-AI capabilities using the Hivemind SDK for unmanned platforms across air, sea, and space. Work with customers to deploy and debug integrations, provide technical training, document solutions, collaborate with product teams, and conduct on-site deployments and flight testing (~30% travel).

Lead design and implementation of autonomy and edge-AI software for air, land, and sea platforms. Develop tactical autonomy algorithms, integrate software with hardware, deploy and field-test capabilities, analyze mission data, mentor teammates, collaborate cross-functionally, and support customers and defense programs.

Develop and integrate Hivemind autonomy capabilities for unmanned platforms across air/sea/space. Collaborate with customers to enable edge-AI, debug integrations, deploy infrastructure at customer sites, provide technical training, document systems, and work with product/engineering to iterate. Travel to customer sites (~30%).

Senior individual-contributor responsible for end-to-end ownership of on-prem and cloud infrastructure, identity and endpoint management, security and compliance, backup/DR and monitoring, and hands-on support for engineering teams in a controlled, security-sensitive environment.

Provide L2/L3 support for SMAX platform deployed as microservices on Kubernetes/OpenShift. Manage incidents, problems, changes, and requests; resolve tickets within SLA; perform RCA and preventive measures; support CRs, patches, upgrades; integrate SMAX with enterprise tools; work with PostgreSQL, Elasticsearch, Kafka; build reports and optimize SQL; drive automation and platform stability.

CrowdStrike seeks a Regional Sales Engineer to support the sales team in India, focusing on identity protection, delivering presentations, configuring installations, and collaborating with various departments.

Design, develop, and maintain microservices-based Python applications and REST APIs. Implement asynchronous processing, ensure test coverage and code quality, deploy and operate services in Docker/Kubernetes, contribute to CI/CD pipelines, mentor junior engineers, collaborate with cross-functional teams, and optimize performance, scalability, and reliability.

Design and develop web applications and UI/UX solutions, collaborate with stakeholders to define technical solutions, implement Python and JavaScript components, evaluate visualization tools and recommend approaches, deliver quality work in Agile teams under tight deadlines.

Own technical relationships across the customer lifecycle: lead discovery, design bespoke architectures, run demos and PoCs across security, networking and developer platforms, drive adoption and expansion with quota responsibility, run technical QBRs, and leverage AI-augmented workflows to automate tasks and focus on strategic advisory.

Lead design and implementation of AI Ops platform and cloud-based software solutions (AWS/GCP). Develop and maintain code (Golang, Python, Java), IaC, LLM/agent integrations, APIs/GraphQL, and automation. Mentor developers, create technical documentation and architecture diagrams, collaborate with QA and stakeholders, troubleshoot automation/operations issues, and drive continuous improvement.

Maintain and improve on-premises MLOps infrastructure: deploy, monitor, and optimize ML models; troubleshoot Linux/Docker/Kubernetes stacks; build CI/CD, deployment, and monitoring tools; productionize research artifacts; enforce testing and engineering standards; collaborate with data scientists and software engineers to scale ML systems.

Develop and maintain statistical and ML forecasting models for SKU-level demand using Python/PySpark and Databricks; analyze model performance (MAPE/bias), post-process outputs, collaborate with demand planners for explainability, produce dashboards and KPIs, and drive continuous improvement in forecasting and data models.

As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

Lead end-to-end data science initiatives to design, build, deploy, monitor, and optimize security-focused AI systems. Develop ML models, LLM fine-tuning, AI agents, and partner with product, engineering, and security teams while mentoring others.

The role involves monitoring and resolving customer integration issues on the Boomi platform, troubleshooting errors, and maintaining customer relationships while providing technical support.

As a Senior Threat Researcher, you will lead initiatives in threat detection, malware analysis, and automation, mentoring team members and enhancing scalable solutions to combat complex cyber threats.

The Senior Data Scientist will architect real-time fraud detection systems, process large data sets, mentor teams, communicate findings, and innovate using AI technologies for effective risk management.

Design, build, and operate agentic LLM-powered workflows, autonomous agents, and RAG/vector retrieval systems. Own end-to-end delivery including CI/CD, IaC, observability, DevSecOps, and Salesforce integrations to productionize enterprise AI for GTM applications.

Lead and grow Cloudflare's India Customer Engineering team as a technical people leader. Provide hands-on architecture and escalation support, drive regional technical strategy, partner with sales to close deals, run operating cadence for pipeline and adoption, hire and coach CE talent, and surface product and competitive feedback.

The Solutions Architect II will design and implement complex web and security solutions, provide technical consulting, and optimize customer engagement with Akamai's services.

The IT Systems Engineer II will design, automate, and manage scalable IT infrastructure while collaborating across teams to ensure operational excellence in cloud and on-prem environments.

The Lead AI Engineer designs and delivers AI/ML and Generative AI solutions for banking platforms, integrating data and enabling AI-driven decisions.

As a Staff Backend Engineer, you'll design backend architecture for AI governance, ensuring auditability and compliance, while collaborating with engineering teams to enhance product capabilities.

The Workflow Automation Engineer will design and implement automated workflows using N8N, Tray.ai, and AI technologies, collaborating with teams to enhance operational efficiency and deliver scalable solutions.