Role Description - This role is 75% travel and remote when not traveling. - Support system adaptation activities, including data configuration, site-specific customization and integration. - Analyze and modify XML files used for system configuration and data exchange. - Assist with installation, configuration and maintenance of hardware systems at FAA facilities. - Develop and maintain technical documentation, including configuration records and site reports. - Work closely with engineers, technicians and FAA stakeholders to ensure timely support. - Comply with all FAA safety, security and quality standards during on-site work and travel. - Serve as the primary point of contact for implementation activities for assigned TFDM Sites. - Develop Site Implementation Plans (SIP), and other supporting documentation to guide field deployments. - Coordinate with FAA to plan and execute system cutovers and deployments. - Support readiness assessments and ensure all prerequisites are met for implementation. - Participate in coordination meetings with engineering, program management, and operational stakeholders. - Track site readiness status, identify risks and issues, and implement mitigation strategies to ensure timely and effective deployment. - Conduct site briefings as needed to prepare operational personnel for system implementation. - Provide implementation status reporting to program management, FAA leadership, and other stakeholders. Company Description SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com . For ongoing news, please visit our newsroom .

• Dar soporte a las actividades diarias del equipo de IT O&L Manufacturing • Participar en despliegues, actualizaciones y actividades de implantación (rollout) de sistemas MES • Trabajar en la resolución de incidencias y problemas cuando sea necesario, siguiendo los procesos de soporte establecidos • Operar y mantener sistemas de TI utilizados en entornos de fabricación • Seguir los procedimientos, procesos y estándares de documentación de IT establecidos • Colaborar con los equipos de fabricación, operaciones y TI para garantizar la disponibilidad y fiabilidad de los sistemas • Ayudar en la resolución de problemas de sistemas, aplicaciones o infraestructura • Documentar acciones, configuraciones y soluciones para compartir conocimiento y asegurar la continuidad • Contribuir a un entorno de TI estable y conforme a normativas, alineado con las necesidades de fabricación

Role Description We’re looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. Qualifications - Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning. - Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment. - Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques. - LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows. - Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms. - Analytical Critique: high attention to detail in spotting "hallucinations," biased outputs, or logical failures in AI-generated technical content. Requirements - Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy. - Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness. - Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness. - Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down. - Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics. Key Technologies - Frameworks: expert proficiency in PyTorch or TensorFlow/Keras. - Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers. - Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain. - Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation. Benefits - Competitive pay rates. - Flexible hours. - Ability to work from home.

• Own and administer the SentinelOne platform across workstations, servers, and Kubernetes workloads. • Ensure SentinelOne agents are deployed, healthy, and running supported versions across all environments (Windows, macOS, Linux, Kubernetes). • Evaluate and adopt emerging AI‑powered security features and tooling to enhance detection fidelity and reduce operational noise. • Monitor the SentinelOne management console for agent health, policy compliance, and security events; troubleshoot and remediate issues as needed. • Stay current on SentinelOne releases, features, and advisories; plan and execute agent upgrades to address bugs, vulnerabilities, and enhancements. • Partner with incident response teams and business units to investigate alerts, support containment and remediation, and participate in post‑incident reviews. • Leverage AI‑driven capabilities within XDR, endpoint, and security platforms to improve alert triage, threat prioritization, and response workflows. • Collaborate with security leadership to responsibly introduce AI technologies while considering governance, data protection, and risk. • Administer and support Tanium for patch deployment and vulnerability remediation. • Own the patching lifecycle for endpoints and servers, including: patch assessment and prioritization, testing and validation, deployment orchestration, post‑deployment verification and reporting. • Use Tanium modules to track patch compliance, maintain accurate application inventory, and reduce exposure windows. • Coordinate patching activities with infrastructure, application, and business teams to minimize operational impact. • Respond to emerging vulnerabilities (zero‑days, actively exploited CVEs) with rapid mitigation or patch deployment. • Develop and maintain patching standards, maintenance windows, and compliance metrics. • Perform general system administration across production and non‑production environments. • Maintain, configure, and support Windows, macOS, and Linux systems at enterprise scale. • Leverage third‑party monitoring tools to ensure endpoint and system availability, performance, and reliability. • Serve as the highest tier of technical escalation for complex system and security issues. • Manage vendor relationships and escalations for endpoint, security, and infrastructure platforms. • Develop and maintain automation using PowerShell, Python, Bash, or similar scripting languages to improve operational efficiency and consistency. • Create and maintain technical documentation, runbooks, and standard operating procedures (SOPs). • Provide technical guidance and mentorship to service desk and junior engineers. • Participate in an on‑call rotation supporting production systems as required.