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27 results for Software Engineer in Boca Raton, FL
- Fort Lauderdale, FL
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- <p>We are seeking an experienced Microsoft 365 Developer to design, build, and implement custom solutions within the Microsoft 365 ecosystem. This role focuses on Power Platform development, SharePoint customization, Teams integrations, and Dynamics 365 enhancements to improve business processes, automate workflows, and deliver actionable insights. The M365 Developer will collaborate closely with business stakeholders, IT teams, and other developers to deliver scalable, cloud-based solutions.</p><p> </p><p>Key Responsibilities</p><ul><li>Develop and customize solutions using Microsoft 365 tools, including Power Apps, Power Automate, Power BI, SharePoint, and Teams</li><li>Build canvas apps, model-driven apps, and custom connectors to meet business requirements</li><li>Integrate M365 solutions with Dynamics 365, Azure services, and third-party applications</li><li>Design and implement automated workflows, business process automation, and reporting dashboards</li><li>Develop custom SPFx web parts, extensions, and Teams apps where required</li><li>Collaborate with business stakeholders to gather requirements, design solutions, and deliver high-quality applications</li><li>Maintain and update documentation, testing procedures, and technical specifications</li><li>Troubleshoot and resolve issues related to custom M365 solutions and integrations</li><li>Stay current with Microsoft 365 updates, Power Platform enhancements, and industry best practices</li></ul><p><br></p>
- 2026-04-30T00:00:00Z
- Riviera Beach, FL
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- <p>The AI/ML Engineer will design, build, and deploy production-grade machine learning and AI systems that power core products and features. This role bridges cutting-edge research with reliable, scalable engineering, turning prototypes into high-performance services that run 24/7 in production.</p><p> </p><p>Key Responsibilities:</p><ul><li>Design and implement end-to-end ML pipelines: data ingestion, feature engineering, training, evaluation, deployment, and monitoring</li><li>Develop, optimize, and productionize models using PyTorch/TensorFlow/JAX (including LLMs, vision, multimodal, and custom architectures)</li><li>Optimize inference for latency, memory, and cost (quantization, pruning, distillation, TensorRT, ONNX, vLLM)</li><li>Integrate models into backend systems via REST/gRPC APIs, event-driven architectures, or real-time serving</li><li>Own MLOps practices: experiment tracking (MLflow, W&B), model registry, CI/CD for ML, canary deployments, drift detection, and observability</li><li>Collaborate with data scientists to harden research prototypes into clean, tested, production-ready code</li><li>Build and maintain retrieval-augmented generation (RAG), agentic workflows, and prompt-engineered systems when appropriate (LangChain, LlamaIndex)</li><li>Continuously monitor, retrain, and improve live models to maintain performance and reliability</li></ul><p><br></p>
- 2026-04-30T00:00:00Z