Machine Learning Engineer, Underwriting
Design, develop, and deploy end-to-end machine learning pipelines and MLOps best practices. Optimize models and collaborate with data engineers to build scalable, production-ready inference systems.
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Design, develop, and deploy end-to-end machine learning pipelines and MLOps best practices. Optimize models and collaborate with data engineers to build scalable, production-ready inference systems.
Lead a team of ML engineers and architects while managing high-impact customer engagements and pre-sales activities. Responsible for hiring, people development, and defining the technical architecture for production ML systems on AWS.
Design and develop geospatial solutions for utility industries including electric, gas, water, and telecommunications. Collaborate with customers and internal teams to configure ArcGIS apps and create product documentation.
The consultant will gather business requirements and translate them into functional specifications to deliver high-quality D365 F&O solutions. They are responsible for configuring modules, coordinating UAT, and providing end-user training and documentation.
Responsible for the technical development, stability, and performance of Shopify stores, translating growth hypotheses into technical solutions like landing pages and funnels. This includes developing Shopify apps, optimizing page speed, and supporting technical SEO to drive conversion and revenue.
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The role acts as a bridge between sales, treasury, and technical implementation to drive mid-market deals and ensure seamless banking connectivity. Responsibilities include coaching sales teams on treasury workflows and managing the technical track of the sales process for US customers.
Lead the rapid creation and iteration of digital products using AI-assisted coding tools to generate functional prototypes. Bridge the gap between user needs and final products by combining product management, design, and technical intuition.
Implement innovative AI solutions and intelligent assistants to revolutionize internal and client business processes. Develop and optimize smart automation systems to increase efficiency and support business development initiatives.
The role involves working directly with customers to onboard, integrate, and optimize AI solutions while building new features and MVPs. You will collaborate cross-functionally to design and iterate on AI/ML applications and manage third-party API integrations.
Develop full-stack applications using AI-powered tools like Cursor and GitHub Copilot to accelerate the development workflow. Implement agentic AI concepts and refactor AI-generated code to ensure production-grade quality and maintainability.
Produce high-quality, photorealistic AI-generated visuals for performance marketing campaigns across various paid media channels and landing pages. Collaborate with marketers and copywriters to iterate on visual concepts based on performance data to improve conversion rates.
Implement Temporal workflow activities and build an Inventory Management Database with REST API endpoints. Develop and execute a comprehensive testing suite including unit, integration, load, and stress tests for provisioning flows.
Develop critical code for networking ASICs and supporting infrastructure to ensure ultra-low-latency and high-performance networking. Responsibilities include programming ASICs, implementing latency analysis, and integrating CPU/BIOS stacks into the operating system.
Develop and maintain the Linux kernel within EOS, including integrating upstream kernel versions and designing new features. Collaborate with hardware vendors to qualify CPUs and NICs while contributing code back to the mainline Linux community.
Build and maintain a React Native mobile app focusing on rider tracking and AI-enabled features. Additionally, maintain and improve the Next.js web frontend to ensure a reliable cross-platform experience.
Develop secure, scalable custom WordPress plugins and themes for enterprise-scale projects. Collaborate with the team using Agile Scrum to shape technical direction and maintain engineering best practices through code reviews and testing.
Analyze user behavior on websites and apps to drive company KPIs through dashboards and deep-dive analyses. Design and monitor split tests for product features and communicate actionable insights to business stakeholders.
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Design and maintain high-performance, scalable backend services and APIs to power Disney's digital experiences. Collaborate with cross-functional teams and mentor junior engineers to ensure system reliability and low latency.
The role involves identifying and solving issues within critical business systems by developing and maintaining Python scripts. Responsibilities include customizing solutions to meet business requirements and assisting development teams in reproducing software issues.
Develop customer-specific customizations for the Power Pick System warehouse management software using C#/.NET and Angular. Model intralogistics processes and workflows while collaborating with cross-functional teams and providing technical training to colleagues.
Lead technical discovery and architecture design for strategic enterprise accounts to drive the adoption of GitLab and the GitLab Duo Agent Platform. Create reusable technical assets and contribute upstream code changes to improve the platform based on customer needs.
Design and develop firmware for security components and communication modules, focusing on deterministic real-time communication between MCUs. Implement hardware drivers and ensure stable backend connectivity via OCPP over WebSocket.
Lead the design and implementation of end-to-end Salesforce architectures across Sales, Service, and Experience Clouds. Manage platform security, integrity, and integrations while providing technical leadership to developers and admins.
Provide personalized technical support to learners through 1:1 video calls and group Q&A sessions. Develop and deliver technical deep-dive presentations on AI/ML concepts and project rubrics.
Responsible for developing and validating SDTM and ADaM datasets, as well as Tables, Listings, and Figures (TLFs) for clinical study reports. The role involves collaborating with biostatistical teams to ensure deliverables meet regulatory requirements and company SOPs.
Lead the development, maintenance, and validation of SDTM and ADaM datasets, as well as Tables, Listings, and Figures (TLFs) for clinical trials. Collaborate with biostatistical teams to ensure deliverables meet ICH guidelines and regulatory requirements for submission packages.
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Design and maintain scalable, event-driven data pipelines for course and job matching, including the creation of semantic embeddings and knowledge graphs. Build and optimize discovery APIs on AWS Lambda and maintain robust web scrapers for institutional data.
Create innovative research and market predictions focusing on Application Platforms and Conversational AI to guide clients' AI operationalization. Provide strategic advice to C-level executives and support sales teams by acting as a voice of the market.
Implement and deploy end-to-end enterprise AI solutions and RAG pipelines on the Azure stack. Establish AI guardrails, observability, and CI/CD pipelines to ensure secure and compliant production-ready AI services.
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