Role Description We are looking for a Python Live Video Streaming Engineer to join our video engineering team and support live video streaming operations in a 24/7 production environment. This role is focused on learning and working with real live video systems, including: - Studio signal flow - Video capture - Encoding - Streaming - Monitoring - Troubleshooting You will work closely with senior engineers, studio engineers, DevOps, and software developers to maintain reliable live video workflows. Qualifications - Excellent problem-solving skills - Basic knowledge of algorithms and their complexity - Python knowledge - Excellent troubleshooting skills - English Requirements - Participation in design and development of a scalable video streaming server - Writing gstreamer-based encoding service - Create a web player - Code performance optimization - Creating of the event-based handler for video production equipment Nice to have - Hands-on experience in building large and (preferably) high-load systems - Network engineering - Encoding experience - Experience with WebRTC streaming server - Knowledge about video codecs and containers - Experience with Linux, Docker Benefits - Challenging and exciting tasks, and all the needed tools to achieve them. - A real opportunity for professional growth in a team of professionals. - 21 days of vacation, 5 flexible days for your needs, 15 sick leave days. - National holidays according to the official calendar. - Individual benefit limit to support your health and wellness needs. - Annual bonus based on company and individual performance results.

• Design, develop, install, deploy, test, medium-scale analytics models and AI applications in support of business and client outcomes and objectives. • Design and implement training pipelines for machine learning models. • Build leading MLOps pipelines to deploy and update machine learning models and analytics applications. • Build leading feature engineering pipelines extracting and preparing data for machine learning model performance. • Train and evaluate models using diverse datasets and performance metrics, choosing and applying appropriate machine learning algorithms. • Maintain and optimize model to improve accuracy and monitor reliability. • Implement leading monitoring mechanisms to track model performance and identify issues. • Detect and mitigate biases in machine learning models to promote fairness. • Write leading specifications of machine learning models and processes for reproducibility and maintenance. • Present insights and performance tuning recommendations from machine learning models to inform business decisions. • Promote ethical principles and responsible AI guidelines for machine learning development. • Integrate machine learning models into production environments. • Develop and deploy APIs for model access and prediction requests. • Leverage best practices and patterns in MLOps (machine learning operations) to ensure efficient and scalable model lifecycle management. • Integrate leading AI service and machine learning models with existing applications and DevSecOps deployment pipelines. • Embrace Agile development practices and employ SDLC processes on all development. • Collaborate with data scientists practitioners, finance and business analysts, actuaries and engineers to achieve model objectives. • Effectively mentor other engineers. • Lead a "data-first" approach to problem solving and designing IT solutions.

Role Description Guild is hiring an Analytics Engineer who will sit at the intersection of data, AI, infrastructure, and analytics, to help shape and deliver valuable data and business-critical reporting and insights for Guild. You will be responsible for organizing, standardizing, and analyzing our data to enable Guild’s Analytical efforts. This role will have a critical impact on the business and our students by surfacing valuable data and providing insight into opportunities for improvement across all aspects of our business. - Develop, maintain, and deeply understand core data models and curated datasets that support reporting, AI, and advanced analytics use cases, effectively communicating their structure and purpose to enable broad access to trusted data. - Develop a deep understanding of business and operational needs by building strong relationships across the teams who manage and use Guild’s data. - Perform in-depth data QA by diving into various data sources to identify and resolve issues. - Efficiently execute on assigned projects and requests from business partners, proactively communicating progress, timelines, and any challenges to manage stakeholder expectations for delivery. - Translate business questions into technical requirements as part of a well-defined development cycle. - Act as subject matter expert for Looker/Omni infrastructure and content, supporting team members in troubleshooting issues that arise. - Implement and maintain robust governance and oversight processes to ensure accuracy and continuity of critical data sources and reporting. Qualifications - 3+ years of full-time work experience as an analytics engineer, data analyst, BI analyst, data engineer or similar. - Experience designing, developing, and maintaining core data models that support a range of downstream use cases, including reporting, self-service analytics, and AI/ML applications. - Hands-on experience with modern data transformation frameworks (e.g., dbt or similar tools), including building scalable models, managing dependencies, and scheduling reliable data pipelines. - Strong understanding of data modeling best practices and modeling layers (e.g., staging, intermediate, marts), with a focus on maintainability, performance, and long-term extensibility of the analytics layer. - Hands-on experience with data model development and reporting in data visualization tools such as Looker, Omni or Tableau. Requirements - Highly skilled in SQL, and some experience in a scripting language (e.g. Python, R). - Demonstrated attention to detail and commitment to data quality and reporting accuracy. - Analytical, intellectually curious, creative problem-solver who is comfortable going beyond data access to analytics and strategic insights. - Keen design and data visualization skills – you know how to transform data to generate useful insights and be easily digestible. - In-depth understanding and application of Data Engineering standard processes. - Teammate approach, with strong interpersonal and influencing skills. - Passion for our mission – Guild is pioneering a new path for career development as a benefit in a complicated and regulated space – success means quickly and effectively adapting your expertise. Benefits - Access to low-cost, high-quality health care options through Collective Health and Kaiser (due to coverage limitations, Kaiser is currently only available in CA & CO). - Access to a 401k to help save for the future. - Vacation policy to rest and recharge. - 8 days of fully-paid sick leave, to take the time to heal and or recover. - Family-friendly benefits, including 12 weeks of parental leave for non-birthing parents and 18-20 weeks for birthing parents; 2-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits. - Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services. - Education benefits and tuition assistance to help your future development and growth.

• Build and operate the Data Governance framework • Implement and maintain data quality checks • Own the monitoring & remediation loop • Drive adoption of Data Governance tooling • Scale the program through AI and automation