Top Python Developer Jobs in Delhi

Support major semiconductor customers with SiConic solutions. Responsibilities include installation, troubleshooting, and customer training, along with evaluation for product improvements.

Provide end-to-end support for customer issues, manage defect escalation, and communicate with cross-functional teams to ensure customer satisfaction.

Seeking a Senior SDET to ensure quality of large-scale data systems, focusing on test automation, performance tuning, and collaboration with teams. Responsibilities include creating test plans, automating tests, and enhancing testing processes.

As a Forward Deployed Engineer Strategist, you'll engage with customers to leverage voice AI technology, solve complex problems, and create tailored integrations, while collaborating with engineering and product teams.

The Staff Detection and Response Engineer will enhance AlphaSense's security through detection engineering, automated incident response, and threat hunting initiatives.

Manage multiple agile teams, ensuring performance and results. Lead strategic planning, oversee software development projects, and mentor team leaders. Drive process improvement and stakeholder relationships within the engineering organization.

The Senior Data Engineer will lead data architecture, mentor engineers, implement data solutions, and ensure data governance while collaborating across teams.

The Senior AI Engineer will design, develop, test, and maintain software applications, focusing on AI technologies while leading projects and mentoring peers.

The Senior AI Engineer will develop and maintain software solutions in a SaaS environment for life sciences, focusing on AI-powered applications and architectural decisions for data management and analytics.

Transform raw data into actionable insights by collaborating with business units, optimizing SQL queries, enhancing Tableau dashboards, and driving process improvements.

Design, operate, and support multi-cloud (AWS, Azure, GCP) infrastructure with parity across tenancy models. Build automation and self-service tooling using Terraform, Kubernetes, Helm, ArgoCD, Python, Bash, and Go. Improve reliability, observability, and developer experience, reduce cloud spend, and participate in an on-call rotation while collaborating with Architecture, Release, Product, and Security teams.

The Senior Product Engineer will develop web applications, collaborate with teams to build frontend and backend systems, and optimize performance for financial planning solutions.

As a Solutions Architect, you'll advise on technical integrations of Level AI's platform, manage customer configurations, and facilitate communication between teams to optimize solutions.

The AI Tooling Program Associate will lead the development and implementation of AI tools, identify automation opportunities, and support operations within the Databricks Professional Services team.

The Senior AI QA Engineer will oversee test planning, automation framework development, API testing, and ensure high-quality AI solutions. Responsibilities include end-to-end testing across AI/ML systems, collaboration with data and DevOps teams, and mentoring junior QA members.

The role involves designing and developing Agentic AI applications, leading a global engineering team, and ensuring security and compliance in deployments.

The Staff Engineer, QA Automation will lead mobile and API testing, leveraging strong skills in automation, CI/CD practices, and collaboration within Agile teams.

As a Senior Privacy Engineer at DuckDuckGo, you'll lead complex privacy projects, collaborate with teams, and ensure alignment with privacy principles while mentoring other engineers.

Maintain and scale cloud-native platform infrastructure: manage Kubernetes (GKE/EKS), build Terraform modules, standardize deployments with Helm, implement GitLab CI/CD, enhance observability (Prometheus/Grafana/Datadog), automate tooling in Python/Go/Shell, participate in on-call rotation, perform RCAs, and collaborate with development teams to improve reliability.

Drive data-driven decisions for Generative AI products: prepare datasets and annotation pipelines, evaluate LLM performance, analyze user and workflow data, design A/B tests, monitor cost/latency, and deliver insights to product and engineering to improve adoption and AI quality.

The Senior Consulting Architect role involves designing and implementing Elastic Stack solutions, managing client engagements, and mentoring team members to optimize customer success.

The Consulting Architect will design and implement Elastic solutions, providing expert advice to clients and managing complex enterprise environments while ensuring successful project delivery.

Manage and optimize data annotation and machine learning workflows, ensuring high-quality data for AI models, while engaging with clients and providing team training.

This position focuses on improving credit and product policies through data-driven analysis. Responsibilities include monitoring portfolios, creating valuation models, and collaborating across teams to enhance profitability and customer experiences.

Manage and grow a browser engineering team, run daily standups, plan and track agile development, coordinate with product and program management, conduct hiring and performance reviews, and deliver progress reports and development timelines.