ML Engineer
Productionize and deploy NLP, audio, and document models using Triton and KServe on Kubernetes. Own the entire lifecycle of model packaging, monitoring, and evaluation to deliver trustworthy enrichment for the OIP platform.
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Productionize and deploy NLP, audio, and document models using Triton and KServe on Kubernetes. Own the entire lifecycle of model packaging, monitoring, and evaluation to deliver trustworthy enrichment for the OIP platform.
Design, develop, and maintain high-quality embedded software for camera-based security devices using C and C++. The role involves debugging complex software/hardware issues and optimizing performance for resource-constrained environments.
Design, develop, and implement scalable CRM solutions using Microsoft Dynamics to automate business processes. Maintain system performance and provide technical support for production environments.
Design, develop, and maintain high-quality C++ embedded software for camera-based security devices. This includes debugging complex hardware/software issues and optimizing performance for resource-constrained environments.
Own features throughout their entire life cycle from inception to production. Develop and improve Kotlin services while prioritizing maintainable code and comprehensive testing within a cross-functional team.
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Design, develop, and deploy machine learning models to enhance risk and fraud detection systems. Lead technical efforts in the Risk/Fraud area and partner with operations to respond to evolving events.
Own the full lifecycle of user-facing features from inception to production. Collaborate within a cross-functional team to deliver a high-quality, mobile-first financial services product.
Build and maintain the public website's component library and own features from inception to production. Partner with cross-functional teams to implement complex styling, animations, and migrate mobile functionality to the web.
Lead the design and implementation of scalable AI solutions and RAG-based architectures for clients. Mentor engineering teams and collaborate cross-functionally to integrate APIs and data pipelines into production.
Lead the design and implementation of scalable AI solutions and RAG-based architectures for clients. Mentor engineering teams and collaborate cross-functionally to align technical strategies with business goals.
Lead the design and implementation of scalable AI solutions and RAG-based architectures for clients. Mentor engineering teams and collaborate cross-functionally to integrate APIs and data pipelines into production.
Design and implement AI-driven automation systems to streamline tenant management, payments, and property maintenance workflows. Partner with product managers to translate operational realities into scalable technical architectures and drive projects from concept to production.
Design, provision, and operate bare-metal GPU server fleets and the NVIDIA software stack for on-prem and air-gapped environments. Partner with SRE and ML teams to deliver high-performance inference serving and manage physical data-center build-outs.
Own and optimize the reliability of communication channels including IP telephony, SMS, email, and WhatsApp. Manage routing logic, system integrations, and the technical onboarding of telecommunication stacks during agency acquisitions.
Provide advanced technical support and design recommendations to customers regarding RF and microwave products. Collaborate with marketing and engineering teams to identify new product opportunities and assist customers with system debugging.
Deliver high-impact full stack engineering to build scalable, compliant, and secure features across frontend, backend, and data layers. Own end-to-end feature development, system reliability, and performance optimization using AI-assisted tools.
Develop and maintain real-time security dashboards, event triage interfaces, and fleet management tools using React and TypeScript. Build and extend the GraphQL API and manage PostgreSQL data models to power frontend experiences.
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Design and deploy production-grade agentic AI workflows to improve developer productivity and engineering efficiency. Build reusable platform components and implement observability and evaluation frameworks to ensure trustworthy AI outputs.
Act as a technical advisor to enterprise customers to design and implement scalable data and AI architectures using the Databricks Lakehouse Platform. Lead architecture workshops, optimize workloads, and mentor both client teams and internal consultants on best practices.
Collaborate with sales and success teams to design tailored technical solutions and manage the execution of product pilots. Act as a technical liaison between customers and the product team to influence the roadmap and ensure enterprise readiness.
Lead a team of web engineers to architect, implement, and optimize consumer-facing 3D web applications and high-performance architectures. Drive technical roadmaps, conduct code reviews, and coordinate with stakeholders to ensure scalable and maintainable software delivery.
Architect complex, cross-team technical solutions that align with business goals and ensure system scalability and security. Lead technical design for large-scale initiatives while mentoring engineers and evaluating emerging technologies to drive growth.
Design and build scalable ML data pipelines and translate R&D outputs into reusable libraries and products. Collaborate with customers and simulation engineers to embed AI models into practical engineering tools.
Lead the technical architecture and system design for the Get Discovered team to help small businesses optimize their digital presence. Mentor engineers and champion AI-first development practices to improve productivity and operational excellence.
Design and implement scalable ETL/ELT pipelines and modern data platforms using Databricks and Azure. Collaborate with architects and stakeholders in an Agile environment to deliver analytics-ready datasets for BI and AI workloads.
Rapidly prototype and iterate on frontend solutions while integrating AI/ML models into backend systems. Collaborate with cross-functional teams to build scalable, secure systems using AWS and mentor others through knowledge sharing.
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Design and maintain CI/CD pipelines using YAML in Azure DevOps to automate deployments across various Azure services. Manage infrastructure connectivity, ensure pipeline security, and monitor systems using Log Analytics and Azure Monitor.
Design, develop, and maintain scalable ETL/ELT data pipelines to support analytics and machine learning initiatives. Collaborate with data scientists and analysts to optimize database performance and ensure secure data delivery.
Design and maintain core systems and services to ensure platform reliability, performance, and scalability. Build automation tooling and integrations while troubleshooting issues across the backend, infrastructure, and occasionally the frontend.
Develop and optimize the frontend of the Zoo Design Studio modeling app, focusing on performance and user experience. Collaborate with backend teams to implement robust APIs and integrate WebAssembly and CodeMirror extensions.
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