Jobs at Paradigm (myparadigm.com)

Design, build, and maintain scalable MLOps solutions and automated deployment pipelines. Deploy and monitor ML models in production, implement model registries and governance, containerize workloads, build observability and drift detection, use IaC (Terraform), troubleshoot ML infrastructure, and mentor engineers while collaborating with cross-functional teams.

Generate new pipeline through high-volume outbound prospecting (calls, email, LinkedIn), qualify leads, schedule demos, maintain Salesforce records, and provide feedback to sales and marketing. May attend industry events to develop leads.

Lead strategy, architecture, and delivery of applied AI/ML systems for residential construction, building multimodal (LLM+CV) and agentic pipelines (RAG, orchestration), MLOps, deployment, and cross-functional teams to automate takeoffs, estimating, procurement, and design personalization.

Lead product roadmap execution from ideation through launch and post-launch optimization. Gather requirements, prioritize features, maintain backlog and documentation, define success metrics, advocate for customers, collaborate with engineering, design, and sales, and synthesize stakeholder input to drive product improvements.

Design, implement, and scale production-ready ML systems (computer vision and LLMs) for blueprint understanding, 3D model generation, document extraction, and materials forecasting. Build ML pipelines, deploy and monitor models, integrate retrieval/RAG and rules-based methods, and collaborate with product, engineering, and domain experts to deliver explainable, business-impacting features.

Manage end-to-end customer implementations: define objectives, build requirements, plan resources, track risks/issues, maintain documentation, and ensure successful delivery across analysis, development, testing, launch and post-launch phases while prioritizing customer satisfaction.

Lead product strategy and execution for myBLDR order entry and management. Do customer discovery with sales associates, define metrics and success criteria, prioritize features with engineering and design, own product documentation and roadmap, mentor junior PMs, and drive launches and post-launch optimization with a focus on speed, accuracy, adoption, and AI-enabled workflows.

Design, develop, deploy, and maintain enterprise integrations using IBM App Connect Enterprise. Build message flows, APIs, and event-driven integrations, integrate with MQ/Kafka/JDBC, deploy on containers/Kubernetes/OpenShift, implement CI/CD and monitoring, troubleshoot performance, lead projects, mentor engineers, and collaborate with cross-functional teams and vendors.