Quantiphi
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The Senior Platform Engineer will design infrastructure, implement best practices, manage key InfraOps responsibilities, document application architecture, and collaborate with cross-functional teams to ensure data solutions accomplish business goals while adhering to project timelines.
The Senior Test Automation Engineer will manage testing deliverables, draft test plans, scenarios and cases, execute tests, and track results. They will perform ETL and BigData testing, create automation scripts for web applications, and conduct API and performance testing using various tools and languages.
The Senior Engagement Manager will oversee end-to-end delivery of B2B software solutions, manage multiple projects, facilitate governance meetings, and lead teams using Agile methodologies. They will also drive deliverable creation, identify client opportunities, and collaborate with stakeholders to solve complex business problems in cloud environments, particularly AWS.
The Senior Data Engineer will be responsible for delivering data solutions using Databricks, constructing data pipelines with PySpark, and leveraging cloud-based technologies for data integration and management. The role involves optimizing SQL queries and implementing data integration projects, with experience in AWS and orchestration tools considered a plus.
Design and develop distributed applications and user-centric web services. Engage in machine learning and artificial intelligence projects while producing high-quality, tested software for continuous integration. Collaborate on system integration using ORM libraries and ensure reliable service delivery.
As a Senior Software Developer, you will be responsible for maintaining and enhancing web applications, debugging issues, and integrating new functionalities while collaborating with cross-functional teams. You will leverage your expertise in full stack development, particularly in React.js and Python, to optimize applications and support clients in a 24/7 production environment.
The Associate Engagement Manager will identify and develop new client opportunities in AI and Data Science, lead projects by gathering requirements, and create solutions for complex business problems. The role involves technical tasks including documentation and training, along with managing client expectations and team collaboration for successful project execution.
The Consultant - Graphic Design will study design briefs, schedule projects, conceptualize visuals, develop designs using software, collaborate with the marketing team, and ensure final graphics are visually appealing and on-brand.
The Senior Software Developer - Full Stack will write efficient code, collaborate with teams to implement new features, and ensure adherence to security standards. Responsibilities include developing and testing web applications, participating in Agile methodologies, and resolving defects during QA testing.
The Senior MLOps Engineer will design, deploy, and maintain distributed systems using Kubernetes and Slurm, optimize Multi-GPU Deep Learning job scheduling, and automate system tasks with shell scripting. This role involves collaboration with teams, monitoring system performance, and troubleshooting technical issues, ensuring high reliability in the deployment of AI models.
The Innovation Hub Team Leader will mentor a team of R&D engineers and AI specialists, overseeing AI integration into software development projects. Responsibilities include project management, stakeholder engagement, innovation strategy, and ensuring best practices in AI usage. The role emphasizes continuous learning and innovation to create impactful AI-driven solutions.
As a Senior Sales Engineer at Quantiphi, responsible for executing the end-to-end sales process in a B2B environment. Tasks include enhancing customer experience, managing customer relationships, developing sales collaterals, driving pre-sales activities, collaborating with cross-functional teams, and providing thought leadership in defining business problems and solutions.
The role involves leading requirements discovery and scope definition for Customer Experience AI Practice solutions, creating proposal content for stakeholders, collaborating with global sales teams, researching industry trends, and developing sales enablement materials. The candidate is also expected to maintain up-to-date knowledge of contact center technologies and ensure strategic initiatives are driven across departments.
The Solutions Architect - Presales will support business development and sales processes for NVIDIA products, develop innovative solutions, deliver technical presentations, and collaborate with customers and cross-functional teams to understand and implement technology solutions.
The Senior Integration Specialist will configure and develop integrations in Workday, manage the integration lifecycle, maintain integration processes, mentor a team, and engage with stakeholders for ongoing backlog management and innovation.
The Senior AWS Data Engineer is responsible for designing and implementing scalable data pipelines, ensuring data quality, and utilizing Amazon Quicksight and AWS services for data visualization and analytics. This role involves collaboration with cross-functional teams and requires strong analytical and problem-solving skills to translate business needs into technical solutions.
Responsible for developing and maintaining applications in the Global Markets environment. Requires strong expertise in system architecture, API integration, and database design. The role involves leading a small team, ensuring high-quality software, and implementing continuous delivery frameworks while collaborating with business partners.
The Senior Software Developer will work on mobile app development using JavaScript and related technologies. Responsibilities include deploying apps to Playstore and Appstore, collaborating with teams, troubleshooting issues, and ensuring effective design and architecture.
The Senior Data Engineer will design and implement data pipelines, manage data integration across systems, and maintain ETL workflows while collaborating with stakeholders to meet business requirements. Responsibilities include data modeling, production support of ETL processes, and ensuring data integrity and quality for BI reporting and analytics.
The role involves architecting and maintaining cloud-based infrastructure on AWS, implementing Infrastructure as Code, and developing self-service platforms. The architect needs to drive CI/CD automation and enforce best practices while collaborating with teams in an Agile environment. Strong communication and troubleshooting skills are essential.