The Data & Operations AI Specialist serves as the Level 3 technical lead for Artificial Intelligence and Data Platform estate. You will be responsible for the architecture, engineering, and advanced troubleshooting of AI infrastructure, data pipelines, and MLOps lifecycles across a multi-cloud environment (Azure and OCI). Responsibilities: AI Infrastructure & Platform Engineering - Design & Architecture: Maintain the monitoring architecture for AI/ML platforms and configure advanced dashboards in Grafana and Azure Monitor. - Environment Governance: Manage Azure Machine Learning (AML) workspace configurations, compute targets, and Databricks cluster lifecycles (including runtime versions and platform patching). - Resource Optimization: Oversee GPU resource allocation, reserved capacity, and cost-performance optimization to align with FinOps goals. - Security Integration: Ensure all AI services utilize private endpoints, VNET integration, and RBAC controls to protect sensitive citizen data. Data Pipeline & ETL Management - Pipeline Engineering: Own the design, optimization, and remediation of Azure Data Factory (ADF) and Synapse pipelines. - Advanced Troubleshooting: Resolve complex bottlenecks related to authentication failures, data format changes, and ETL performance. - SOP Leadership: Author step-by-step Standard Operating Procedures (SOPs) for the L1 NOC team to handle routine monitoring and first-line triage. MLOps & Model Lifecycle - Automation: Implement CI/CD pipelines for model training, testing, and deployment to AML endpoints. - Model Reliability: Configure data drift detection thresholds and automated retraining triggers. - Recovery Operations: Develop self-healing scripts and automated recovery runbooks for critical AI workflows. Governance & Compliance - Audit Management: Implement and maintain audit logging for all AI decisions and model outputs, ensuring logs flow to the SIEM/vSOC. - Regulatory Alignment: Conduct quarterly AI governance reviews to ensure compliance with NESA standards and data privacy guidelines.

• Translate creative strategy into repeatable, scalable systems for AI-powered content production. • Collaborate with creative, innovation, and social teams to ensure automated outputs align with brand voice, cultural relevance, and platform-native storytelling. • Identify opportunities to streamline ideation, production, and publishing through automation. • Use performance data and audience insights to continuously refine creative systems and content workflows. • Build and maintain automated workflows for short-form content creation using AI tools (Runway, Higgsfield, Veo, ChatGPT, Sora, etc.). • Design modular creative frameworks (templates, prompts, pipelines) that enable rapid, high-volume content production. • Integrate AI tools with automation platforms to reduce manual effort across creative operations. • Stay current on emerging AI and automation capabilities, testing and implementing new tools to improve efficiency and creative output. • Support the AI Creative team by documenting workflows, best practices, and system logic for scalable use. • Train and support team members on automated creative pipelines and AI-assisted production methods. • Partner with the Director of AI Creative Strategy + Senior Director of Innovation to prototype new automated creative formats and production systems. • Act as a bridge between creative vision and technical execution, ensuring tools actually work in practice. • Help manage AI Studio operations, including tracking creative workflows, automation performance, and production timelines. • Maintain and optimize systems for creative requests, deliverables, approvals, and handoffs. • Collaborate with internal stakeholders to integrate automation tools into existing processes. • Assist with onboarding and training AI Social Media Managers on AI workflows, automation tools, and production systems.

• Serve as enterprise leader responsible for strategic adoption and deployment of AI and automation technologies • Oversee evaluation, prioritization, and execution of AI and automation initiatives • Ensure compliance with security, privacy, regulatory, and data stewardship standards • Maintain documentation for AI and automation solutions • Integrate solutions into workflows and coordinate change management • Support VP in managing relationships with technology partners • Partner to design, deploy, and optimize AI capabilities • Monitor performance and enhance strategy based on insights • Lead, coach, and develop a high-performing team

Role Description 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: - Design original computational physics problems that simulate real physics 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 mechanics, electromagnetism, thermodynamics, and quantum mechanics. - Base problems on real research challenges or practical applications from physics practice. - Verify solutions using Python with standard physics simulation libraries. - Document problem statements clearly and provide verified correct answers. Qualifications - Degree in Physics (Theoretical, Experimental, or Computational) 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 simulation methods. - Ability to design problems that mirror real physics research workflows. - Creative thinking in problem design across diverse physics areas. - Familiarity with physics modeling and approximation techniques. - Strong written English (C1+). Requirements This opportunity is a good fit for physicians with experience in Python open to part-time, non-permanent projects. Benefits - Compensation: Contributors can earn up to $76 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. 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.