Python Developer - IA
Develop scalable Python services and APIs for the next generation of data products. Implement applied AI initiatives including agents, RAG, and Document AI while maintaining data pipelines.
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Develop scalable Python services and APIs for the next generation of data products. Implement applied AI initiatives including agents, RAG, and Document AI while maintaining data pipelines.
Build and maintain scalable back-end systems using PHP and Laravel while developing front-end components with React. Integrate AI-assisted development tools into the workflow to accelerate delivery and maintain high coding standards.
Design and build an in-house banking platform focusing on resilient software and distributed systems. Collaborate across disciplines to solve challenges ranging from customer-facing products to underlying infrastructure and security.
Build and evolve a cloud-native, AI-first data platform that transforms business data into actionable assets for AI agents and humans. Lead the transition from batch-oriented pipelines to real-time streaming systems while improving data observability and governance.
Manage, configure, and maintain DB2 databases on mainframe platforms to support the mission-critical DESTINY application. Responsibilities include optimizing queries, ensuring high availability, and implementing disaster recovery strategies.
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Define the long-term technical roadmap for the Core Pricing platform to optimize the borrower-lender marketplace. Lead the design of scalable systems and collaborate with ML scientists to improve core business metrics and pricing models.
Design and build batch and near-real-time data pipelines using PySpark and Databricks within a medallion architecture. You will architect efficient Delta Lake schemas and collaborate with product teams to translate requirements into reliable data enrichment workflows.
Lead the design and implementation of complex ServiceNow architectures specifically for the telecommunications sector. Provide technical leadership, mentor developers, and act as a strategic partner for clients to define technological strategies.
The Systems Engineer supports the sales organization by qualifying leads and serving as the primary technical resource during sales calls. They also act as the lead technical contact for post-sales account issues and provide customer training.
The Systems Engineer provides technical support across the entire sales cycle, including qualifying leads and educating customers during sales calls. They also serve as the lead technical contact post-sale to resolve customer issues and provide training.
Design, build, and support full-stack enterprise applications using Databricks as the core data and AI platform. Integrate these applications with enterprise systems like SAP and Salesforce to enable reporting, forecasting, and operational control.
Lead mid to large-size complex Oracle EPM consulting projects and develop long-term client strategies. Act as a functional and technical expert to design, build, and implement Planning Cloud solutions while mentoring junior consultants.
Review, evaluate, and annotate AI-generated content across various media formats to ensure accuracy and consistency. Contribute to the development of high-quality datasets used to train advanced Generative AI models.
Review, evaluate, and annotate AI-generated content across text, images, audio, and video to ensure accuracy and compliance. Contribute to the development of high-quality datasets used to train advanced Generative AI models.
Review, evaluate, and annotate AI-generated content across text, images, audio, and video to ensure accuracy and consistency. Contribute to the development of high-quality datasets and provide feedback to improve annotation guidelines.
Review, evaluate, and annotate AI-generated content across text, images, audio, and video to ensure accuracy and consistency. Contribute to the development of high-quality datasets and provide feedback to improve annotation guidelines.
Review, evaluate, and annotate AI-generated content across text, images, audio, and video to ensure accuracy and compliance. Contribute to the development of high-quality datasets and provide feedback to improve annotation guidelines.
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The Senior QA Engineer will own the test strategy and execution for a crypto payment platform, focusing on automation-first UI and API testing. They are responsible for integrating routine regression into CI and verifying client-facing releases through exploratory and acceptance testing.
Design and evolve core platform services with a focus on reliability, scalability, and data integrity for a crypto payment platform. Lead technical relationships with third-party partners and implement complex backend components using TypeScript and Node.js.
Design and implement backend-heavy features using TypeScript and Node.js while owning services from requirements to production support. Collaborate with product teams to shape technical solutions and improve system observability and reliability.
Own the end-to-end technical support function, acting as the primary bridge between clients and the engineering team. Responsibilities include triaging requests, maintaining API documentation, and managing incident communications.
Design and build the test infrastructure for a crypto payment platform, including stateful mocks, simulators, and CI pipelines. The role focuses on creating tooling and patterns that enable engineers to ship code cheaply and confidently.
Evaluate AI-generated text and voice snippets to ensure naturalness and authenticity in the Kannada language. Provide feedback on tone, pronunciation, and cultural context to improve AI model accuracy.
Evaluate AI-generated text and voice snippets to ensure naturalness and authenticity in the Kannada language. Provide feedback on tone, pronunciation, and cultural context to improve AI model accuracy.
Evaluate AI-generated text and voice snippets to ensure natural and authentic Kannada speech. Provide feedback on tone, pronunciation, and cultural context to improve AI model accuracy.
You will be responsible for mobilising to locations worldwide to commission, install, service, and maintain both JCI-manufactured products and third-party equipment. This role supports production and projects departments and requires a multitasking mindset.
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Own technical design and architecture across the full stack, from concept through delivery, including UI/UX and data layers. Lead the integration of AI-assisted development tools and mentor team members through code reviews and technical guidance.
The Business Solutions Architect creates and manages requirements and technical documentation for IRT projects. They collaborate with clients and internal teams to ensure systems are built to meet clinical study protocol needs.
Responsible for supporting the delivery, maintenance, and continuous improvement of enterprise technology services across LATAM manufacturing and corporate sites. This includes managing infrastructure, servers, and network systems while serving as a regional escalation point for critical incidents.
Design and build AI agents on a LangGraph runtime, focusing on prompt engineering and the development of rigorous evaluation datasets. Implement applied machine learning models and RAG pipelines to improve agent intelligence and data-driven decision-making.
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