Top Python Developer Jobs in Delhi

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.

Design, develop, and deploy deep learning and computer vision models for fraud detection (including deepfake and synthetic data detection). Own production models, research new algorithms, deploy on AWS SageMaker or devices, monitor model performance, and collaborate with engineers and product managers in an Agile environment.

As an SDE III in MLOps, you'll enhance ML asset management, design infrastructure for ML model deployment, and optimize CI/CD pipelines for efficient performance.

The Support Systems Specialist manages and optimizes Zendesk configurations, designs routing logic, collaborates with teams, and enhances operational efficiency in support systems.

Operate and scale low-latency, high-availability trading infrastructure; automate and manage IaC; monitor and respond to incidents; optimize system and network performance; implement secure CI/CD and IAM practices; collaborate with trading, engineering, and security teams; participate in rotational on-call support.

The Senior Software Engineer will work on building and operating scalable backend services, APIs, and infrastructure while collaborating closely with customer engineering teams to resolve real-world challenges in enterprise data systems.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

The Senior Data Engineer will develop data ingestion, transformation, and enrichment pipelines, ensuring data quality and reliability. Responsibilities include creating Bronze and Silver data layers, using SQL and dbt for implementation, and collaborating with architects and stakeholders to align data solutions with enterprise standards.

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

Design, develop, and maintain Splunk dashboards, reports, alerts and integrations. Administer Splunk Enterprise and forwarders, implement custom scripts (Python/PowerShell), analyze and optimize performance, collaborate with stakeholders in Agile ceremonies, mentor developers, and maintain documentation.

The Solutions Engineer will support direct sales cycles, providing technical expertise and tailored solutions for customers, while collaborating closely with Sales, Product, and Engineering teams.

Lead end-to-end deployment of AI solutions for enterprise clients, including requirements gathering, integrations, backend development, deployment pipelines, AI workflow customization, monitoring, debugging, and production rollout. Serve as the primary technical client contact, translate business needs into solutions, document architectures, collaborate with product and engineering teams, and support technical pre-sales demonstrations. Strong Go, Python, AI/ML, systems integration, and client communication skills are required.

Leads the design and delivery of scalable cloud-native platform capabilities, including infrastructure, tooling, ML frameworks, and AI-driven applications. Owns the full software development lifecycle from coding and testing through deployment, monitoring, and maintenance. Conducts system design reviews, mentors engineers, influences technical decisions, collaborates with stakeholders, defines success metrics, and drives continuous improvement across advertising media planning and order management products.

Design, build, and maintain scalable Azure-based data pipelines and systems (Databricks, Data Lake, Synapse, ADF). Collaborate with cross-functional teams, ensure data quality and integrity, optimize performance, monitor and troubleshoot systems, and stay current with industry trends to improve solutions.

Designs, builds, evaluates, and deploys machine learning, deep learning, and LLM-based systems. Owns the end-to-end data science lifecycle, including problem definition, deployment, monitoring, reproducible pipelines, model validation, drift detection, and experiment tracking. Collaborates with product and domain teams to develop modeling strategies and improves system performance, reliability, documentation, and processes.

Analyze user engagement, retention, cohort, funnel, and A/B testing data to identify product opportunities. Build Tableau dashboards, write SQL queries, and use Alteryx for automated data pipelines and recurring reporting. Partner with Product, Program, Data, and Engineering teams to define metrics, measure feature impact, improve data quality, and communicate actionable recommendations to technical and non-technical stakeholders.

Design, implement, and optimize data-driven trading strategies for Asian markets. Responsibilities include analyzing large datasets, applying statistical and machine learning methods, developing high-performance production code, building research and backtesting pipelines, productionizing strategies, monitoring performance, and collaborating with engineering teams to ensure scalable, robust systems.

Develop and maintain full-stack internal applications for quant, infrastructure, compliance, and operations teams in a high-performance trading environment. Responsibilities include designing solutions, developing and testing software, deploying and monitoring applications, improving trading-monitoring tools, manipulating and interpreting data, enhancing user experience, and collaborating with stakeholders across multiple high-priority projects.

Build and maintain end-to-end web applications using Python, modern JavaScript frameworks, and SQL databases. Develop APIs and responsive UIs, optimize database and application performance, implement testing and code reviews, manage deployments and CI/CD, monitor reliability and costs, troubleshoot production issues, and apply security and observability best practices.

Design and conduct advanced technical interviews and assessments for senior data science candidates. Develop current evaluation criteria, assess technical and problem-solving abilities, provide hiring recommendations, facilitate technical workshops, and mentor junior assessors. Collaborate with HR and data science teams to tailor evaluations, maintain knowledge of evolving technologies and best practices, and ensure a strong candidate experience.

Develop predictive models and machine learning solutions using Python and data science techniques. Analyze terabyte-scale datasets, identify patterns, clean and visualize data, write SQL, and use GPUs for model development. Apply NLP, computer vision, deep learning, statistical learning, and graph-based methods. Build interpretable results in collaboration with domain experts, leaders, and engineers, and develop AI chatbots using Amazon Lex and cloud platforms.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG systems using Python, AWS Bedrock, and major ML frameworks. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions on AWS, and manage CI/CD. Design databases and automated ETL pipelines, integrate cloud services, and document AI workflows while collaborating with cross-functional technical and product teams.

Develop and maintain scalable, secure, and reusable Python backend services using AWS cloud services and microservices architecture. Design infrastructure as code, work with relational and NoSQL databases, manage Linux-based systems, and use Git for version control. Participate across the software development lifecycle, including requirements analysis, testing, deployment, infrastructure management, troubleshooting, debugging, and performance optimization. Collaborate with cross-functional teams while independently managing project components.

Design and develop scalable 5G network architectures, integrate IoT, AI, edge computing, NFV, SDN, network slicing, massive MIMO, and beamforming, and ensure security and standards compliance. Research emerging technologies, optimize network performance, create technical documentation, provide troubleshooting support, conduct code reviews, mentor junior engineers, and deliver training. The role requires advanced expertise in 5G and legacy cellular technologies, network security, programming, virtualization, cloud platforms, and related networking tools.