Design and deliver sophisticated ML and data architectures using Linux, Kubernetes, and open-source technologies.
Work closely with sales and technical teams to translate customer requirements into scalable infrastructure solutions.
Influence product direction by sharing customer insights and technical feedback with engineering teams.
The partner company helps organizations adopt modern AI and machine learning technologies across public and private cloud environments. They operate with a global Field Engineering team and a distributed work environment.
Lead system design and architecture for scaled data warehouses and data analytics applications.
Ensure technical health and quality by monitoring technical debt and driving reliability best practices.
Mentor and coach engineers on data storage, warehouse, processing, and SRE systems architecture.
Virtru provides a suite of data protection applications and an open platform based on the Trusted Data Format (TDF) open standard, enabling secure data sharing without sacrificing security. Backed by Iconiq Capital, Bessemer Venture Partners, and others, Virtru helps Fortune 500 companies and government agencies with a culture of curiosity and growth.
Design, build, and operate end-to-end ML systems across batch and real-time workloads.
Develop production capabilities for personalization, recommendations, optimization, and experimentation.
Provide technical leadership for ML architecture and distributed systems.
Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. It is a remote-first company that values initiative, openness, and humility.
Design and build scalable backend systems using Java, with deep expertise in production-grade application development.
Lead the architecture and implementation of distributed systems, ensuring reliability, scalability, and performance across complex multi-service environments.
Develop and optimize concurrent and multi-threaded applications, implementing thread synchronization patterns for high-performance data-intensive systems.
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. The company emphasizes a culture of innovation and collaboration, with a growing team focused on delivering data-driven solutions.
Design, develop, and deploy AI/ML and GenAI solutions from concept through production.
Build and optimize models for NLP, forecasting, classification, and anomaly detection.
Collaborate with stakeholders to translate business needs into scalable AI systems.
Our partner company builds and deploys high-impact AI and machine learning solutions across various industries. They offer a remote-first culture and emphasize collaboration and technical excellence.
Build agentic AI systems for rare disease research, including conversation logic and validation steps.
Model outputs in Pydantic with structured output and tool calling to ensure typed and traceable fields.
Write and test prompts for clinical and scientific reasoning tasks, treating prompts as code.
Axle is a bioscience and IT company advancing translational research and data science for healthcare organizations. They collaborate with top research facilities including NIH and emphasize diversity and innovation.
Build retrieval-augmented services that ground everyday language in clinical concepts, using ontologies and vector search over biomedical corpora.
Deploy continuously onto NIH on-premises and HPC Kubernetes environments, owning the data layer and retrieval services end to end.
Collaborate with NIH staff, clinical geneticists, and rare disease specialists to turn user needs into data models and interface design.
Axle is a bioscience and information technology company that offers translational research and data science solutions to healthcare organizations. The company has experts in biomedical science and software engineering, and works with top research facilities like NIH, offering a collaborative culture and comprehensive benefits.
Build and operate change-data-capture pipelines from PostgreSQL into Azure using Kafka Connect and Debezium.
Configure, deploy, and scale connectors end-to-end, covering connector setup, task management, offsets, schema history, and snapshot strategy.
Monitor and troubleshoot the platform in production, handling connector failures, task rebalances, and throughput issues.
Software Mind develops solutions that make an impact for companies around the globe. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Serve as the technical lead and pillar head for Data Platform Engineering, defining and evolving the enterprise 10-Layer Data & AI Operating System.
Architect and deploy the centralized Metadata Control Plane and automated Data Catalog, driving GitOps and Data-as-Code practices.
Design and govern enterprise AI infrastructure standards, including Vector Databases, Knowledge Graphs, and RAG pipelines.
Avery Dennison is a global materials science and digital identification solutions company with locations in over 50 countries and approximately 35,000 employees worldwide. They foster a culture of curiosity and courage, encouraging diversity of thought and collaboration.