Top Python Developer Jobs in Delhi

Design, develop, and implement ML models for search and recommendation systems. Collaborate with data engineers and scientists to integrate, enhance and scale ML solutions for personalization in various sectors.

The Data Analyst will analyze complex supply chain data, recommend process improvements, ensure data accuracy, and support AI initiatives across multiple enterprise systems.

As a Cybersecurity Analyst, you will enhance Fluke's security posture by managing vulnerabilities, improving cloud security, collaborating across teams, and driving security initiatives.

Looking for a Mid-Level Site Reliability Engineer to maintain reliable, scalable platform operations, manage Kubernetes clusters, and improve observability. Responsibilities include automating deployments, conducting root cause analysis, and collaborating with multiple teams.

The Data Operations Analyst develops custom product attribution based on client needs, utilizing tagging and machine learning; ensuring data mapping accuracy and project delivery.

As a Detection Engineer, you will analyze and develop detections for advanced security threats, optimize alerts, and collaborate with teams to enhance detection capabilities across the platform.

Lead statistical activities for clinical trials, collaborate with stakeholders, oversee programming and junior statisticians, and apply statistical methods for data analysis.

As a QA Automation Engineer II, you will design and maintain automated test frameworks, create scripts for UI and API testing, ensure high-test coverage, and collaborate with software engineers.

Manage the operational lifecycle of the Flight Plan for e-commerce clients ensuring proper setup, maintenance, and actionable insights from the infrastructure.

Design, develop, and deploy production ML models; build feature pipelines; run experiments and A/B tests; monitor and maintain models; collaborate with engineers, product, and executives; mentor junior engineers and document models and processes.

The SDET will test AI-based products, improve quality assurance processes, and provide feedback to enhance AI models. Responsibilities include manual and automation testing and API testing.

Maintain and create data analyses and visualizations to inform program leadership. Gather stakeholder requirements, build ETL processes, develop dashboards/reports (Tableau), present actionable insights at monthly and quarterly reviews, and support data model and database design activities.

The AI Platform Engineer will design and optimize AI/ML infrastructure, automate pipelines, and manage Kubernetes for effective machine learning model deployment and collaboration.

Work with Product and Engineering to design and execute manual and automated tests, build and maintain automation scripts, log and investigate bugs, create test plans and cases, and improve test coverage and product quality across UI, API, performance, and usability.

Design, build, and own AI-powered full-stack platforms and features from discovery through production. Embed AI into products and workflows, ensure reliability and security, support incidents, and mentor teammates.

Design, build, and maintain scalable web applications using React frontend and Python backend (Django/Flask/FastAPI). Build and consume RESTful APIs, ensure performance, write tests, participate in code reviews, collaborate with designers and stakeholders, and document deployment and operational procedures.

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.

Develop trading strategies for cryptocurrency markets, enhance high-performance trading systems, and collaborate with traders on market opportunities.

Prepare, clean, and validate structured and unstructured data for LLM-driven systems; build training datasets, support RAG and NL->SQL pipelines, perform data quality checks, and assist in data pipelines/APIs and model evaluation.

Lead design and implementation of automated and chaos-style tests for distributed databases. Architect scalable test frameworks, execute stress/resiliency/performance suites, debug deep data-consistency issues, modernize CI/CD test pipelines, and mentor junior engineers while influencing product quality and feature design.

Lead backend development at Drivetrain AI, focusing on enhancing system efficiency, scalability, and data handling while optimizing application performance and collaborating with engineering teams.

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

Lead sales operations and incentive compensation strategies for business growth, enhance performance through analytics, and manage stakeholder relationships.

The RPA & Intelligent Automation Lead Consultant will lead automation initiatives using RPA and AI technologies, design solutions, mentor teams, and align automations with business strategies to enhance operational efficiency.

The CAD/Flow Methodology Development leader will define and scale EDA infrastructure, automate design flows, debug issues, and establish metrics for silicon delivery efficiency in cross-functional environments.