Top Python Developer Jobs in Delhi

Develop, support and maintain Oracle EBS R12 and Oracle Cloud ERP technical solutions for Finance modules. Build PL/SQL packages, reports, data models, and integrations; troubleshoot production issues; participate in testing, documentation, and cloud/patch updates while collaborating with analysts and senior developers.

Analyze user behavior and product performance to deliver actionable insights, driving product decisions. Collaborate with cross-functional teams and create data visualizations to influence product strategy.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

The Site Reliability Engineer will monitor and ensure the reliability and performance of platforms using ELK and TICK stacks, bridging development and operations.

The AI QA Specialist will design and execute test strategies for AI systems, validate model outputs, implement monitoring dashboards, and ensure compliance with safety standards.

The Lead BigQuery / Graph DBA will design and optimize cloud-native data warehouses and graph databases, focusing on performance, integration with AI, and data governance.

Design and implement production-grade AI models and algorithms, lead AI initiatives across organizations, enhance Agentic AI capabilities, and collaborate with teams to develop high-impact AI features.

The MDM Specialist will design and implement master data management solutions, integrate AI workflows, and ensure data governance and quality across customer and vendor domains.

Develop and maintain AI systems for a financial platform, focusing on LLM pipelines, ML model serving, backend integration, and collaboration with engineering teams.

The DevOps Engineer will enhance software development and IT operations, focusing on automating processes, managing cloud infrastructure, and implementing CI/CD pipelines.

Design and implement testing strategies and automation solutions for complex product features, owning the automation roadmap and improving quality across teams.

Build and maintain scalable ETL/ELT pipelines on AWS and Snowflake, migrate BI/reporting workloads to Snowflake, configure BI connectors, optimize data models and Snowflake performance, troubleshoot production issues, and collaborate with BI teams and stakeholders.

Lead and mentor a team of data analysts to design and implement analytics strategies, delivering insights and overseeing data accuracy and compliance.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

As a Senior Atlassian Platform Engineer, you will administer and support Jira and Confluence platforms, automate tasks, troubleshoot issues, and collaborate with various teams to enhance performance and stability.

Administer and govern the Snowflake-centered data platform and related tools (Databricks, Fivetran, dbt, Airflow, Monte Carlo). Optimize performance, implement data security (dynamic masking, RLS, SSO/SAML), automate operations with Python/SQL, monitor costs and resource usage, and optionally manage Tableau Cloud.

As an Associate Technical Consultant, you'll support ServiceNow platform implementations, build applications, collaborate with stakeholders, and participate in training to enhance your skills.

The Senior Software Engineer will build and manage Postgres capabilities within ClickHouse, focusing on backend services, automation, API development, and collaboration with various teams to enhance operational excellence.

Design and implement AI-powered data pipelines and workflows combining LLMs, embeddings, vector search, and RAG to transform structured and unstructured data into business-ready outputs. Build APIs and full-stack integrations, produce Excel/PDF/Word deliverables, optimize relational and vector data stores, and prototype scalable AI solutions while contributing to engineering best practices.

Deliver Flood Risk Assessments, drainage strategies, and hydraulic and drainage-system modelling for infrastructure and development projects. Ensure regulator-ready reports compliant with UK and Irish policies, support EIAs, liaise with regulators and clients, mentor juniors, and contribute to technical quality assurance and methodology improvement.

Build and own a multi-tenant platform connecting enterprise customers and sovereign deployments to inference infrastructure. Responsibilities include authentication, tenant isolation, quotas, rate limiting, usage metering, entitlements, public inference APIs, SSO, access controls, audit logs, data residency, and security testing. The role requires strong Python and backend or platform engineering expertise, API design experience, and familiarity with billing, credits, reconciliation, regulated environments, and enterprise identity systems.

Own and optimize the cost, throughput, latency, and reliability of an AI inference stack. Responsibilities include improving KV-cache management, batching, speculative decoding, quantization, routing, and long-context workloads; tuning serving engines; and building profiling systems. The role requires production experience with inference infrastructure, GPU performance, model serving, and systems programming.

Lead end-to-end ML systems: data pipelines, model development (transformer-based detection), sim-to-real synthetic data, multi-sensor fusion, on-device real-time inference (Jetson), MLOps (experiment tracking, versioning), and production deployment and monitoring. Set ML roadmap and hire/lead as the team grows.

Drive RTL-to-GDSII physical implementation for ASIC/SoC designs: floorplanning, power planning, placement, CTS, routing, timing closure, congestion and SI analysis, physical signoff (DRC/LVS/IR Drop/EM), ECOs, and tape-out coordination across teams.

Senior Data & AI consultant responsible for designing, developing, and delivering cloud data and AI solutions on Microsoft platforms. Lead data engineering, platform modernization, ML readiness, MLOps, and Azure-based deployments while collaborating with customers and teams to drive adoption and technical excellence.