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Vetted Data Engineering Professionals
Pre-screened and vetted.
Intern Machine Learning & Cloud Engineer specializing in cloud-native deployment and forecasting
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Mid-level Software Engineer specializing in Python, ML/LLM systems, and scalable microservices
Director of Engineering specializing in AI, data platforms, and cloud cost optimization
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Junior AI/ML Engineer specializing in LLM agents, RAG, and multimodal data pipelines
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLMs, RAG, and recommendations
Intern Software Engineer specializing in data engineering and LLM evaluation
Executive Platform & Infrastructure Engineering Leader specializing in FinTech SaaS, Cloud, Data & AI
Senior AI/ML Engineer & Data Scientist specializing in NLP, entity resolution, and knowledge graphs
Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Data Scientist specializing in large-scale ML systems and recommendations
Jeffery Faneuff
Executive Engineering Leader specializing in AI-driven SaaS and IoT platforms
“Engineering leader who built and delivered an IoT smart-spaces platform for the self-storage and smart-living domains, translating customer requirements into architecture, capability maps, and a multi-milestone roadmap. Personally stood up missing AI/ML capabilities (including churn prediction) using Databricks (Delta Lake/MLflow), enabling follow-on features like energy optimization and security/anomaly detection. Scaled an org from 20 to 80+ with disciplined Agile planning (Jira Advanced Roadmaps/Confluence) and strong executive/customer-facing leadership during high-stakes customer commitments.”
Riccardo Bernardi
Senior Infrastructure Engineer specializing in cloud, Kubernetes, and MLOps
“LLMOps-focused technical leader who took an LLM use case from prototype to production for a non-technical customer by combining trust-building and structured enablement with a robust AWS/Kubernetes-based MLOps stack. Built observability and rollback mechanisms (Grafana + MLflow) to troubleshoot in real time, and scaled delivery by hiring a 5-person team while partnering with sales to manage expectations and drive adoption across departments.”
Sujit Singh
Engineering Director specializing in backend & data platforms for enterprise SaaS and cybersecurity
“Backend/data engineering player-coach on a UEBA cloud security analytics platform who standardized MLOps and detection development for 180+ detections, cutting ship time from 6–7 weeks to ~3 weeks while reducing false positives. Proven at operating large-scale streaming + Spark systems (200K+ events/sec, 100+ TB/day), driving major reliability/cost improvements, and leading incident response and team execution through GA.”