2 Restful Design Jobs

As an AI Engineer at Deutsche Bank, you will play a crucial role in designing, developing, and implementing AI-based solutions for CB Tech. By working with large datasets, conducting experiments, and staying updated with the latest advancements in AI and Machine Learning, you will drive innovation and lead efforts to modernize the engineering landscape. Your role will involve identifying AI use cases and providing local support, contributing to the development of innovative products. You will collaborate as part of a cross-functional agile delivery team, bringing an innovative approach to software development and focusing on the latest technologies and practices to deliver business value. Your dedication to open code, open discussion, and creating a supportive, collaborative environment will be essential as you contribute to all stages of software delivery, from initial analysis to production support. Key Responsibilities: - Design, develop, and implement AI and Gen-AI-based Agentic software systems on the cloud. - Collaborate with development teams and subject matter experts to integrate shared services into products. - Operate within Deutsche Bank's AI Governance framework and adhere to safe AI principles. - Utilize architecture decision trees to select strategic AI patterns for solving business problems. - Integrate Gen-AI APIs with cloud-native presentation and persistent layers. - Scale systems while innovating and evolving continuously. - Work with data engineers and scientists to ensure effective data collection and preparation for training AI models. - Monitor AI solution performance and implement improvements. - Lead training sessions and create comprehensive documentation for end users. - Function as an active member of an agile team. Skills You'll Need: - Proficiency in AI frameworks, libraries, and cloud platforms. - Crafting effective prompts and enhancing AI outputs. - Strong understanding of natural language processing and conversational AI. - Experience in model deployment, monitoring, optimization, and problem-solving. - Proficiency in Python or Java, SQL, and RESTful design. - Experience with enterprise and real-world data sets. - Putting ML/AI into production and discussing best practices. - Relationship and consensus building skills. Skills That Will Help You Excel: - Ability to explain AI concepts to non-technical audiences. - Flexibility in learning new tools and developing innovative solutions. - Experience with cloud-native databases/warehouses and data visualization. - Thought leadership in emerging technologies related to AI. Join us at Deutsche Bank and be part of a culture that empowers you to excel daily, take initiative, and work collaboratively. We promote a positive, fair, and inclusive work environment where success is celebrated and shared across our teams. Apply today to drive innovation and shape the future of AI at Deutsche Bank.,

About the Role: Grade Level (for internal use): 09 The Team: Automotive Mastermind was founded on the idea that there are patterns in peoples behavior that, with the right logic, can be used to predict future outcomes.Our software helps automotive dealerships and sales teams better understand and predict exactly which customers are ready to buy, the reasons why, and the key offers and incentives most likely to close the sale.Our culture is creative and entrepreneurial where everyone contributes to company goals in a very real way. We are a hardworking group, but we have a lot of fun with what we do and are looking for new people with a similar mindset to join the organization. The Impact: As a Quality Engineer you will collaborate with members of both, Product and Development Teams to help them make informed decisions on releases of one of the best tools there is for car dealerships in the United States. Whats in it for you: Possibility to work on a project in a very interesting domain - Automotive industry in the United States, and influence the quality of one of the best tools there is for car dealerships. Affect processes and tools used for Quality Engineering. Our Team has a high degree of autonomy in automotive Mastermind organization to decide what tools and processes we will use. Responsibilities: Own and be responsible for testing and delivery of product or core modules. Assessing the quality, usability and functionality of each release. Reviewing software requirement and capable in preparing test scenarios for complex business rules Interact with the stakeholders to understand the detailed requirements and expectations Be able to gain technical knowledge and aim to be a quality SME(s) in core functional components Developing and organizing QA Processes for assigned projects to align with overall QA goals Designing and implementing a test automation strategy supporting multiple product development teams Leading efforts for related automation projects, design and code reviews Producing regular reports on the status and quality of software releases and be prepared to speak to findings in an informative way to all levels of audiences. What Were Looking For: Participate in and improve the whole lifecycle of servicesfrom inception and design, through deployment, operation, and refinement. Participate in the release planning process to review functional specifications and create release plans. Collaborate with software engineers to design verification test plans. Design regression test suites and review with engineering, applications and the field organization. Produce regular reports on the status and quality of software releases and be prepared to speak to findings in an informative way to all levels of audience. Assess the quality, usability and functionality of each release. Develop and organize QA Processes for assigned projects to align with overall QA goals Lead and train a dynamically changing team of colleagues who participate in testing processes Exhibit expertise in handling large scale programs/projects that involve multiple stakeholders (Product, Dev, DevOps) Maintain a leading edge understanding of QA as related to interactive technologies best practices Design and implement test automation strategy for multiple product development teams at the onset of the project. Lead efforts for related automation projects, design and code reviews. Work closely with leadership and IT to provide input into the design and implementation of the automation framework. Work with Architecture, Engineering, Quality Engineering, IT, and Product Operations leaders to create and implement processes that accelerate the delivery of new features and products with high quality and at scale. Develop and contribute to a culture of high performance, transparency and continuous improvement as it relates to the infrastructure services and streamlining of the development pipeline. Participate in a diverse team of talented engineers globally, providing guidance, support and clear priorities. ? Who you are: Total Experience: 2 to 6 years. Hands on experience with at least 2 or more of leading testing tools/framework like Playwright, Robot Framework, K6, Jmeter. Hands on experience working on Python. Experience with Databases SQL/NoSQL. Experience working on CloudNative Applications. Hands on experience with Google Cloud Services like Kubernetes, Composer, Dataplex, Pub-Sub, BigQuery, AlloyDb, CloudSQL , lookerstudio etc. Strong analytical skills and ability to solve complex technical problems. API testing - must have understanding of RESTful design / best practices. Hands on experience testing APIs and test tools Experience with load / stress / performance testing and tools, Experience with Azure DevOps (or other similar issue/bug tracking systems) is required, Experience working with Cloud native applications. Ability to think abstract to ensure ability to not conform to the norm. Norms do not find bugs quickly, Experience working in an Agile software development organization, Experience supporting development and product teams Excellent verbal, written, and interpersonal communication skills; ability to interact with all levels of an organization Ability to work in an advisory capacity to identify key technical and business problems, develop and evaluate. Grade: 08 / 09 Job Location: Gurugram Hybrid Mode: twice a week work from office. Shift Time: 12 pm to 9 pm IST.