You will design, build, and deploy machine learning and optimization solutions to address complex business challenges within multidisciplinary product teams. Additionally, you will collaborate with engineers to deliver production-grade models while translating analytical findings into actionable recommendations for stakeholders.
Design, develop, and maintain scalable data pipelines and ETL/ELT processes within AWS environments. Build, train, and deploy machine learning models using Amazon SageMaker while collaborating with multidisciplinary teams to provide actionable data insights.
Design and develop robust, scalable automations using Power Automate Cloud and Desktop. Collaborate with business and technical teams to integrate systems, manage errors, and ensure high-quality deployments.
Design, build, and maintain high-throughput data pipelines and scalable cloud data warehouse architectures for financial transactions. Collaborate with cross-functional teams to implement data quality frameworks, governance standards, and automated CI/CD workflows.
You will design, build, and operate production-grade AI capabilities, including LLM gateways, model routing, and agentic workflows. Additionally, you will define engineering standards for AI adoption and implement tools to boost developer velocity.
The role involves developing applications and services using Node.js, managing relational and NoSQL databases, and implementing RESTful APIs. You will also participate in agile teams, applying best practices for development, security, testing, and continuous integration.
Design and maintain high-throughput batch and streaming data pipelines to process global financial transactions. Collaborate with cross-functional teams to build scalable data warehouse and lakehouse architectures while enforcing data quality and governance standards.
Lead the design, development, and delivery of end-to-end data science solutions while providing technical guidance to the team. Collaborate with business stakeholders and engineering teams to translate complex business challenges into scalable, data-driven machine learning models.
You will own the architecture, development, and automation of end-to-end machine learning solutions while bridging the gap between data science and software engineering. Responsibilities include managing the ML lifecycle, ensuring cloud cost-efficiency, and collaborating with cross-functional teams to deliver scalable production models.
You will design and implement scalable data solutions while managing cloud infrastructure and automating data operations. The role involves direct customer interaction to gather requirements and provide technical leadership for complex software initiatives.
You will design and deploy GenAI-driven solutions to automate the Software Development Lifecycle and improve developer velocity. The role involves building intelligent tooling, copilots, and predictive platform features in collaboration with SRE and DevOps teams.
You will be responsible for designing, developing, and operating backend solutions using Java within a complex microservices architecture. The role involves integrating messaging, asynchronous communication, and AI technologies to ensure system resilience in a fintech environment.
Lead the greenfield implementation of Microsoft Intune, Entra ID, and Microsoft Defender for Endpoint across a multi-cloud environment. Define device management policies, configure endpoint security, and facilitate knowledge transfer to internal engineering teams.
You will lead the development and optimization of efficient data pipelines between Snowflake and Google Cloud Platform. Responsibilities include implementing native orchestration, config-driven processing, and ensuring robust data governance and observability.
The role involves gathering and documenting functional and business requirements while collaborating with stakeholders to define business solutions. Responsibilities include managing the product backlog and writing user stories and acceptance criteria within an Agile/Scrum framework.
Lead the end-to-end migration of a native Android application to a unified React Native ecosystem for industrial plant operators. Ensure critical offline-first capabilities and resilient integration with AWS IoT and Cloud services.
Lead the technical development of frontend and backend teams while defining the overall software architecture. Responsible for designing APIs with NestJS, implementing web interfaces with Next.js, and supervising AWS service integrations.
Lead the modernization of legacy enterprise data systems by converting database logic into Python and optimizing T-SQL queries. Develop robust APIs and high-performance user interfaces using Node.js, Python, and ReactJS.
Take full technical ownership of designing, building, and operating critical platform domains and event-driven microservices. Responsible for service layers and data pipelines to provide critical telemetry for analytics.
Lead the end-to-end execution of complex digital products while maintaining technical authority over architecture and engineering standards. Manage distributed teams and act as the primary technical point of contact for C-level client stakeholders.
Own the end-to-end execution of complex digital products and maintain technical authority over architecture and engineering standards. Lead cross-functional distributed teams while acting as the primary technical point of contact for C-level client stakeholders.
