1,594 rest api documentation jobs in India.

... and implement robust solutions. Integrate Totara/Moodle with various third-party applications, including other LMS, CMS, CRM, HRMS, and external services using RESTful APIs and other integration methods. Performance Optimization: Proactively identify and resolve performance bottlenecks, optimize database queries (MySQL/PostgreSQL), ...

... AI and Data architectures across cloud, hybrid, and enterprise environments.- Develop AI solution architectures covering data platforms, AI/ML models, GenAI, APIs, integration, security, governance, and infrastructure.- Identify and evaluate AI/GenAI use cases based on business value, feasibility, scalability, and ROI.- ...

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud...

... business priorities.- Perform advanced data analysis to generate actionable insights and recommendations.- Apply best practices for code quality, testing, documentation, and performance.- Required Skills : - Strong proficiency in SQL and Python for analytics and modeling.- Hands-on experience with AI/ML concepts, predictive ...

... AI and Data architectures across cloud, hybrid, and enterprise environments.- Develop AI solution architectures covering data platforms, AI/ML models, GenAI, APIs, integration, security, governance, and infrastructure.- Identify and evaluate AI/GenAI use cases based on business value, feasibility, scalability, and ROI.- ...

... on an ORM/ODM.- Comfortable with JSDoc-typed JavaScript as a substitute for full TypeScript, and/or willingness to work in that convention.- Understanding of REST API design and integration, including third-party service integrations (e.g. transactional email via SMTP providers).Good to Have:- Experience building or extending ...

... can lead the design, architecture, and technical strategy for enterprise-scale AI https://jobeax.com/link/D4GLjfywL6FEvFfU role will play a critical part in shaping how AI solutions are designed, deployed, governed, and scaled across diverse enterprise and government-facing use https://jobeax.com/link/AYOZvSZDEx3PMuUt ideal ...

... with a strong focus on modern backend engineering and distributed systems. The ideal candidate will have deep expertise in Java, Spring Boot, Microservices, REST APIs, Kafka, and databases , along with proven experience mentoring engineering teams and driving technical excellence across the software development lifecycle. ...

... object-oriented programming, design patterns, Spring Boot, Spring ecosystem (Spring MVC, Spring Security, Spring Data JPA, Spring AI), ORM frameworks like Hibernate, RESTful APIs and microservices architecture. - Experience with frontend development using modern frameworks — SAP UI5, React, Angular, or https://jobeax.com/link/tzGekrj9a8ToGEDv ...

... development cycle- Hands-on experience with :1. OpenAI / Azure OpenAI Document Classification2. LangChain / LlamaIndex / Semantic Kernel3. NLP and prompt engineering4. REST APIs and microservices5. Vector databases and embeddings6. JSON schema-based extraction- Experience with cloud platforms :1. Microsoft Azure preferred- Familiarity ...

AWS Global Sales (AGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

... traditional SaaS built with AI-assisted development https://jobeax.com/link/UeihKekmHfcz25oy you will build : - Production SaaS features : end-to-end from UI to API to data model to deployment- AI-embedded product capabilities where required : workflow automation, document intelligence, conversational interfaces- Evaluation ...

... pipelines and ETL processes for AI training and inference. - Develop metadata catalogs and ontologies to support high-quality AI data. - Create and maintain REST APIs and SDK integrations for data and model interactions. - Collaborate with product, security, and engineering teams on secure and scalable implementations. ...

... clustering, feature engineering, and model optimization.- Architect and deploy AI services on Microsoft Azure, including Azure Kubernetes Service (AKS), serverless APIs, and cloud-native services.- Define and implement MLOps best practices for model versioning, deployment, monitoring, and lifecycle management.- Lead AI initiatives ...

... employees, and decisions. - We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide ...

Would you like to be part of a team that delivers high-quality software to our customers At Data Services, our goal is to keep the world connected. We are a leading provider of analytics, helping customers understand the past, present, and predict what comes next.

... TypeScript.- Build modern and responsive frontend applications using https://jobeax.com/link/6WcBICn0LM558SP0 and Next.js.- Design and develop secure, scalable RESTful APIs and microservices.- Work with MongoDB and Redis for data management, caching, and performance optimization.- Ensure seamless integration between frontend, ...

Principal Data Scientist - 7+ Years - BangaloreWe are hiring a Principal - Data Scientist with GenAI for a leading global AI and analytics organization. com/link/FcjWxP7sjBm0F9WZ : Crescendo Global specializes in Senior to C-level niche recruitment.

Join a high impact data science team where your ideas move quickly from exploration to real world outcomes In this role you ll turn complex messy data into clear insights and intelligent products building machine learning and AI solutions that improve decisions automate workflows and elevate customer experiences If

... clustering, feature engineering, and model optimization.- Architect and deploy AI services on Microsoft Azure, including Azure Kubernetes Service (AKS), serverless APIs, and cloud-native services.- Define and implement MLOps best practices for model versioning, deployment, monitoring, and lifecycle management.- Lead AI initiatives ...