OpenTeams

Data Engineer

• Design and build of ETL processes in collaboration with software and model development teams.
• Create and maintain scalable data infrastructure.
• Own full pipeline and infrastructure lifecycle including performance monitoring and optimization.
• Maintain and improve existing pipelines, ensuring stability over existing requirements and adapting to new needs.

Senior Data Engineer

Machine Learning Engineer

• Develop and refine features for deep learning models, working with large-scale customer and behavioral datasets
• Implement model architecture changes informed by recent academic research (e.g., papers from NeurIPS and similar venues)
• Collaborate with client teams to understand business context and translate requirements into technical solutions
• Optimize model training pipelines for efficiency and scalability
• Document approaches, findings, and technical decisions for knowledge sharing across teams
• Participate in code reviews and contribute to engineering best practices

Senior Machine Learning Engineer

Systems Engineer

• Work side-by-side with the concept architect to convert advanced system ideas into technical specifications, service maps, data models, APIs, schemas, tests, and deployment plans.
• Translate verbal and written design guidance into architecture diagrams, implementation backlogs, acceptance criteria, and working prototypes.
• Identify ambiguity, missing assumptions, engineering risks, security issues, and implementation conflicts.
• Help turn an evolving concept architecture into reproducible, testable, maintainable software.
• Build production-grade Python services, APIs, data pipelines, background workers, and orchestration logic.
• Design clean service boundaries for ingestion, entity resolution, evidence management, review workflows, reporting, audit logging, and model integration.
• Design and implement relational schemas, graph models, object-storage structures, retrieval indexes, and audit records.
• Build canonical identity and entity-linking systems that reconcile conflicting real-world records.
• Support relationship topology, ownership mapping, provider-network analysis, and source-conflict preservation.
• Integrate model-serving infrastructure such as vLLM, KServe, Ray Serve, and Hugging Face, or equivalent tools where appropriate.
• Deploy services using Docker, Kubernetes, Helm, GitOps, CI/CD, RBAC, secrets management, observability, and secure environment practices.

Founding Lead Engineer – Principal Systems Architect

Backend Engineer

• Work on open-source and client consulting projects focused on packaging and build systems
• Build and package complex Python projects with compiled dependencies (C/C++, and potentially other languages depending on project needs)
• Support packaging workflows targeting Conda ecosystems
• Troubleshoot and improve build reliability across operating systems, with a strong focus on Windows
• Troubleshoot and improve python packaging tooling within enterprise settings
• Work directly with client stakeholders onsite, translating needs into technical requirements and solutions
• Maintain and extend documentation for packaging workflows and build processes
• Collaborate with open source community, openteams engineers, learn from peers, and contribute to a culture of high-quality delivery
• Drive constructive conversations around tooling, engineering practices, and process improvements
• Review code and provide thoughtful feedback during code reviews
• Communicate openly with upstream sources to report issues and contribute fixes

Senior Data Engineer

Senior Machine Learning Engineer

Founding Lead Engineer – Principal Systems Architect

Senior Engineer – Python Packaging