Top Python Developer Jobs in Delhi

The role involves shaping Data Management strategy, leading solutions development, driving AI innovation, building collaborations, and coaching junior team members.

Develop, deploy, and scale AI/ML and generative AI solutions for a fintech platform. Design data models and pipelines, build agentic frameworks, integrate OCR and vector DBs, implement RAG, and champion MLOps and cloud deployment practices while mentoring teammates.

Design and architect large-scale GPU clusters across compute, networking, and storage. Model performance for AI/ML workloads, define low-latency interconnects (InfiniBand/RoCE), integrate storage, and operationalize reliability and monitoring with SRE, networking, and storage teams.

Design, develop, and deploy enterprise AI/ML solutions including GenAI, LLM-based RAG systems, and agentic AI. Build scalable models, integrations, monitoring, and reusable frameworks while collaborating with stakeholders for production adoption and continuous improvement.

Design, implement, and maintain Adobe Experience Platform solutions including XDM schemas, data ingestion pipelines, identity resolution, RT-CDP and Journey Optimizer integrations to enable segmentation, personalization, audience activation, and platform governance.

Develop, test, and deploy Java/Scala microservices for supply-chain-finance modules. Build Spark batch/streaming jobs, design Kafka event pipelines, integrate bank/ERP systems via Talend/REST, and produce Jasper reports. Maintain Kubernetes deployments, ensure ≥80% unit-test coverage, troubleshoot via Elasticsearch and Prometheus/Grafana.

Lead design, build, and deployment of scalable machine learning models using Python, SQL, and ML/DL frameworks. Process and train models on large datasets with Spark/Databricks/Hadoop, automate pipelines with Airflow and AWS EMR, and integrate models into AWS cloud applications. Drive end-to-end experiments, optimize pipelines and queries, and deliver production-grade, high-impact data science solutions.

Lead delivery of data and digital consulting services: define deliverables, engage senior stakeholders, manage small teams, design scalable data pipelines, implement dashboards and analytics, ensure data quality and governance, and drive digital transformation using cloud, BI, and automation tools.

We are looking for a Full Stack Developer with 5+ years of experience in high-quality code, proficient in MERN, Python, and cloud services, to optimize scalable APIs and enhance development speed using AI tools.

Build and operate backend services and infrastructure for LLM- and voice-driven healthcare applications. Implement APIs, productionize LLM workflows, deploy cloud containerized services, and monitor performance and reliability end-to-end.

Designs, builds, and optimizes machine learning models and infrastructure, develops production-grade ML services and data pipelines, conducts research and evaluation, implements LLM fine-tuning and RAG solutions, and partners cross-functionally to translate business requirements into deployable ML deliverables.

Build and maintain Python backend services and internal tools for AI/LLM applications. Integrate LLM APIs, design scalable REST APIs and async workflows, handle prompt management and model routing, monitor performance, debug distributed systems, automate data workflows, and collaborate to productionize AI features with emphasis on scalability, reliability, and safety.

The Node JS Developer will enhance integrations, improve reliability, expand capabilities, and contribute to open-source innovations while ensuring high-quality Node applications.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

The Senior ML Research Engineer will develop computer vision algorithms for item authentication, mentor team members, and oversee model deployment.

As an Operations Engineer, you will manage HPC networking, monitor and debug InfiniBand and Ethernet fabrics, and support fabric bring-up while enhancing operational tools and runbooks.

Perform target-oriented R&D to apply findings to product design and incremental improvements. Integrate, verify, test, and modify SW/HW/system components for VoIP/IMS/VoLTE products, develop and execute test strategies, use traffic simulation and automation tools, and troubleshoot voice quality, protocols, and interfaces.

As a Senior Data Engineer, you will develop and maintain data pipelines for healthcare data, ensuring data quality, reliability, and adherence to enterprise standards while collaborating with architects and stakeholders.

Lead HUD's data quality strategy for RL training data: build QC systems, validate synthetic data at scale, design evaluation experiments, partner with researchers and vendors, convert research insights into production validation pipelines and tools, and mentor research engineers.

Lead the development of a data platform using Apache technologies, optimize distributed data systems, and contribute to the open-source community by driving project direction and enhancing functionality.

Assist in grading writing problems, moderating student discussions, and supporting live classes while honing mentoring skills.

Lead and evolve SRE best practices, observability, and incident response. Design and automate cloud infrastructure, Kubernetes platforms, and IaC. Mentor engineers, drive large platform initiatives, reduce operational toil, and improve reliability, scalability, performance, and security across services.

Design, develop, and maintain automated validation suites across web, mainframe, API, desktop, file, and email workflows. Build and enhance automation frameworks using Java/Python/JavaScript and modern test frameworks. Integrate LLM-based capabilities for test generation, failure analysis, and data creation. Validate core banking and payments flows in NA Retail Banking. Collaborate in Agile/Scrum teams and ensure robust test architecture and framework development.

Designs, builds, and maintains scalable automated test frameworks across UI, API, integration, and performance. Writes production-quality test code, integrates tests into CI/CD, drives shift-left testing, measures quality metrics, leads root cause analysis, manages test data/environments, mentors SDETs, and collaborates with Architecture, Security, and SRE to cover non-functional requirements.

Support Global Costing by executing quarterly standard costing, maintaining SAP and Impact3C, performing product costing and manufacturing cost analysis, analyzing cost variances, supporting COGS and inventory valuation, partnering with Finance/Operations/Supply Chain/IT, driving process automation, and ensuring SOX and accounting policy compliance.