Senior Data Scientist
As a Senior Data Scientist, you will lead project teams delivering bespoke algorithms and high-stakes AI solutions to clients, conceive core data science approaches and design robust software architectures for new engagements, mentor a small number of data scientists and support their professional growth, partner with commercial teams to build client relationships and shape project scope for technical feasibility, contribute to Faculty’s thought leadership through courses, public speaking, or open-source projects, and ensure best practices are followed throughout project lifecycles to guarantee high-quality, impactful delivery.
Mechanical Engineer & Python Expert - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Electrical Engineer & Python Expert - Freelance AI Trainer
Design rigorous electrical engineering problems reflecting professional practice, evaluate AI solutions for correctness, assumptions, and constraints, validate calculations or simulations using Python (NumPy, Pandas, SciPy), improve AI reasoning to align with industry-standard logic, and apply structured scoring criteria to multi-step problems.
Principal AI Ops Architect, IPS
As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, support end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and resilient cloud infrastructure for international government partners. You will take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. You will oversee the end-to-end health of the platform ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Build automated systems to monitor model performance and data drift across geographically dispersed environments ensuring reliability. Manage the technical lifecycle within diverse regulatory frameworks. Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building guardrails to prevent recurrence. Translate deep technical performance metrics into clear insights for senior international government officials and partner with Engineering and ML teams to ensure field lessons influence the technical architecture and future use cases.
Senior Cyber Security Engineer (AI Safety)
As a Senior Cyber Security Engineer, you will lead security efforts across key projects, bridging engineering and AI safety. You will design evaluations, test harnesses, and "Capture the Flag" scenarios to test the limits of Frontier AI models, and work on securing agentic AI systems deployed in government settings. Responsibilities include designing and building scaffolds to rigorously test the security and capabilities of frontier AI models and agentic systems, setting technical standards for AI Security across consulting and AI safety business units as the senior technical authority, collaborating with cross-functional teams to integrate security into projects, automating security processes including vulnerability management and secure development lifecycles, and mentoring junior engineers and data scientists to foster technical excellence and continuous security learning.
Scientist/Sr Scientist, Display Technology (Contract)
The role involves working as a research engineer in an AI-related company, being enthusiastic and motivated, collaborating within a team to solve challenging problems, learning and teaching within the team, and operating in a hybrid working culture based on trust.
Training: Process Management Engineer
As a Training Runtime: Process Management Engineer, you will design, build, and maintain software to orchestrate and monitor machine learning workloads on large supercomputers, working primarily with Python and Rust. Your responsibilities include profiling and optimizing the software stack to support computation orchestration at frontier scale, improving reliability, observability, and fault tolerance for long-running jobs, debugging complex distributed systems issues across large clusters, and responding to the changing shapes and needs of the ML systems to enable researchers. The role involves building high-performance asynchronous systems with a strong emphasis on performance, correctness, and scalability, and working on software that ties thousands of computers together as a unified system while promoting a fast debugging and development cycle and relentless optimization for scale, stability, and performance.
Senior Fullstack Software Engineer
Build systems integrated with clinical workflows, making the AI Care Partner feel native to American healthcare EHRs like Epic, athena, and eClinicalWorks. Address the complexity of US healthcare billing rules, compliance requirements, and payer constraints by creating systems that simplify these for clinicians. Write clean, testable code with strong interfaces, error handling, and observability to ensure trust and quality in workflows that clinicians and operators rely on. Take ownership of outcomes to ensure the solutions provide real benefits to clinicians and improve practice revenue. Develop AI-assisted functionality for extraction, reconciliation, and drafting within workflows, maintaining human review, auditability, and control. Collaborate closely with team members through pairing and shared design and implementation work. Learn about healthcare operations and US customer requirements to inform product improvements.
Field Events Marketing Manager
Debug and fix issues in the platform and ship pull requests with fixes. Build internal tools and copilots powered by generative AI to enhance the team. Rapidly prototype proof-of-concepts for customer use cases. Collaborate across Engineering, Product, and Solutions teams to unblock customers and advance AI adoption.
AI Solutions Engineer
Run technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast. Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale. Manage up to 10 concurrent projects while feeding customer insights back to product and engineering.
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