• AI Infrastructure Orchestration: Design and maintain the infrastructure required to power AI features, including vector database management, model deployment pipelines, and secure integration with LLM providers. • Platform Architecture: Build and evolve our Internal Platforms, focusing on self-service, automation, and reducing cognitive load for internal teams. • Serverless & Event-Driven Systems: Optimize and secure our 100% cloud-native environment, developing and deploying scalable serverless and event-driven architectures (AWS Lambda, Google Cloud Functions, EventBridge, Pub/Sub). • DevSecOps: Implement automated security guardrails within the CI/CD pipeline. You will lead the "Identity/IAM Architecture" to ensure least-privilege access and build automated compliance checks into our Infrastructure-as-Code (Terraform). • AI Guardrails: Develop and enforce technical guardrails for our internal AI platform to manage data privacy, cost controls, and ethical usage monitoring. • Reliability & Automation: Drive a "manual-is-a-bug" culture by automating environment provisioning, incident response, and performance monitoring.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational mathematics problems that simulate real mathematical research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; - Base problems on real research challenges or practical applications from mathematical practice; - Verify solutions using Python with standard mathematical libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Mathematics (Pure or Applied) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods and symbolic computation; - Ability to design problems that mirror real mathematical research workflows; - Familiarity with computational complexity theory; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational mathematics problems that simulate real mathematical research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; - Base problems on real research challenges or practical applications from mathematical practice; - Verify solutions using Python with standard mathematical libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Mathematics (Pure or Applied) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods and symbolic computation; - Ability to design problems that mirror real mathematical research workflows; - Familiarity with computational complexity theory; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational mathematics problems that simulate real mathematical research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; - Base problems on real research challenges or practical applications from mathematical practice; - Verify solutions using Python with standard mathematical libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Mathematics (Pure or Applied) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods and symbolic computation; - Ability to design problems that mirror real mathematical research workflows; - Familiarity with computational complexity theory; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.