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Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial. The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change. WHAT WE DO Relativity's engineering organization is large, distributed, and fast moving, with teams empowered to choose the tools and practices that best fit their domain. Engineering plays a critical role in delivering a secure, scalable cloud-based SaaS platform that supports high-stakes legal work around the world. Infrastructure TPM Team The Infrastructure Technical Project Management function partners closely with engineering and product leaders to drive execution across complex, cross-functional initiatives. This role requires senior-level judgment and independent ownership. You will operate as a strategic delivery leader, not a meeting facilitator or status collector, by anticipating follow-up questions, surfacing what's missing, and pushing teams from noise to signal. You will help leaders move from status updates to decision support by clarifying outcomes, tradeoffs, dependencies, and risks, and by bringing strong accountability mechanisms that accelerate execution without adding unnecessary overhead. Relativity is also leaning heavily into AI across both our product offerings and our internal engineering practices. This role requires curiosity, experimentation, and practical application of AI-enabled tools to improve delivery quality, increase speed, and reduce manual overhead in planning, reporting, and project execution management. Job Description and Requirements WHAT YOU'LL DO * Lead the end-to-end delivery of complex technical initiatives across engineering domains * Drive alignment on business outcomes, scope, sequencing, risks, dependencies, ownership, and success measures across multiple teams * Translate ambiguous goals into clear execution plans, operating rhythms, decision points, and accountability structures that enable teams to move faster * Operate as a strategic delivery leader by asking the next question, surfacing gaps, and pushing for the rigor needed to execute well * Challenge weak assumptions, plans, timelines, and inputs when needed to improve decision quality and reduce delivery risk * Identifyrisks early, assess impact, drive mitigation planning, and escalate with recommendations rather than simply reporting problems * Partner closely with engineering leaders and teams to understand technical context, architecture implications, dependencies, and delivery constraints well enough to guide execution credibly * Provide concise, leadership-ready updates focused on progress, risks, changes, decisions needed, and recommended actions * Facilitate discussions that drive teams to closure on priorities, tradeoffs, commitments, and next steps * Improve execution quality byidentifyingpatterns, friction points, and systemic gaps across teams and helping implement better ways of working * Explore, adopt, and help scale AI-enabled tools and practices that improve project management, including planning support, technical synthesis, status reporting, dependency analysis, risk detection, and decision support * Lead or support initiatives tied to AI-enabled product capabilities, AI experimentation, and AI-related engineering investments as priorities evolve * Partner effectively with engineering and product leaders as the organization increasingly incorporates AI into its product strategy, development approach, and internal tooling * Travel as needed for team and company meetings WHAT WE'RE LOOKING FOR Required * 5 to 7 years of experience leading medium to large technical projects or programs in cloud, SaaS, infrastructure, or engineering-focused environments * Advancedproficiencywith Jira Cloud, Jira Advanced Roadmaps, Confluence,andAsana * Demonstrated ability to lead complex cross-functional work across multiple engineering teams with differing priorities, tools, and delivery styles * Experience driving alignment, decision-making, and delivery across senior engineers, engineering managers, and cross-functional leaders in a fast-moving environment * Strong technical fluency and systems thinking, with the ability to understand architecture-level concepts, technical dependencies, and engineering tradeoffs * Clear understanding of cloud infrastructure, automation, CI/CD, observability, and modern engineering practices, with the ability to apply that context in planning, dependency management, and delivery decisions. * Proven ability to create clarity in ambiguous situations and translate incomplete information into actionable execution plans * Track recordofidentifyingdelivery risks early, driving mitigation, and improving outcomes through proactive intervention * Proven ability to describe delivered work in terms of outcomes, metrics, tradeoffs, and business or engineering impact, not just activities completed * Strong judgment and executive communication skills, including the ability to synthesize complexity into concise, decision-ready updates * Demonstrated ability to influence without authority and hold teams accountable through partnership, credibility, and follow-through * Hands-on experience working with GitHub and related engineeringworkflow toolingto support planning, execution tracking, issue management, and cross-team coordination. * Practical interest in AI and emerging technologies, including hands-on use of AI-assisted tools to improve delivery outcomes or team workflows * Comfortoperatingin an organization that is actively increasing investment in AI-driven product capabilities and AI-enabled engineering practices Preferred * Experience working in Azure, AWS, or GCP-based environments * Experience working with distributed engineering teams across regions, including the ability to drive alignment, accountability, and execution across time zones and differing team norms * Experience supporting engineering efficiency, platform automation, cost optimization, or operational improvement initiatives in technical environments * Experience building or improving TPM operating models, governance, reporting, or portfolio-level execution practices * Experience using AI tools to support planning, communication, meeting synthesis, reporting, risk identification, dependency analysis, or workflow automation * Exposure to AI or machine learning initiatives through direct project support or self-driven learning and experimentation * Experiencemanagingcross-team planning, andoperatingeffectively even when data quality is imperfect * Relevant project or program management certifications such as PMP, PMI-ACP, PMI-RMP, or equivalent Agile credentials WHY WE COULD BE A GREAT FIT Impactful Mission * Help teams deliver technology that enables organizations to organize data, discover the truth, and act on it in high-stakes legal and regulatory matters. Growth Path * Opportunities to work across complex infrastructure and platform initiatives while influencing how teams plan, execute, and adopt AI-enabled ways of working. Engineering and Delivery Culture * Strong emphasis on judgment, accountability, execution quality, and continuous improvement without unnecessary process overhead. Inclusive Environment * Diverse backgrounds and perspectives are valued and make us stronger. Community Impact * Volunteer opportunities and company-sponsored charitable programs. Compensation and Benefits * Competitive salary, annual performance bonus, long-term incentives, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, home office stipend, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $96,000 and $144,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Budget Management, Change Management, Leadership, Process Improvements, Project Management, Risk Management, Stakeholder Management, Strategic Planning, Team Leadership, Vendor Management

Part-Time Faculty - Computer Information Tech Artificial Intelligence (South) Teaching Computer Information Technology Artificial Intelligence related coursework. Additional Responsibilities: • Develop syllabi and materials, including laboratory activities, aligned with state, college, and departmental standards. Required Education: • 3 years of full-time work experience in AI, machine learning, data analytics, or related fields., • Practical experience with AI tools and frameworks (e.g., Python, TensorFlow, PyTorch)., • College-level teaching experience., • Five or more years of professional experience in AI or related domains., • AI/ML-related certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning Specialty)., • Data governance or compliance certifications. Salary Grade: AH Salary is based on the Board-approved salary schedule for the current fiscal year. ___ Requisition Number: req6167 Posting Close Date: 8/31/2026 at 6 pm CST Apply NowShare Save Job

Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship now or in the future. This position is not eligible for employment visa sponsorship, and the company will not assume sponsorship obligations for existing visa holders. Living Our Values All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live. Why Join Us • Career Growth: Advance your career with opportunities for leadership and personal development., • Culture of Excellence: Be part of a supportive team that values your input and encourages innovation. A Day In The Life Solution Architect to lead the design and implementation of cutting-edge AI and machine learning solutions that will transform business operations. This is not just a technical role; it is a strategic position that will help define how AI, ML, and data science integrate into the company's technology landscape, spanning industries such as financial services, automotive, sports, hospitality, and entertainment. The ideal candidate will be able to seamlessly operate at the enterprise level, shaping the architectural vision for intelligent, data-driven solutions while remaining deeply engaged with development teams to ensure execution aligns with strategic goals. This role requires a unique combination of technical excellence, hands-on development experience, and leadership presence. The Solution Architect will collaborate closely with executive stakeholders, engineering teams, and business partners to drive the adoption of AI-powered solutions, ensuring they are scalable, efficient, and impactful. A strong understanding of data management, data architecture, and how data flows through enterprise systems is essential to designing solutions that fully leverage AI and analytics capabilities. As a Solution Architect you will: • Define and own the AI/ML solution architecture, setting the technical vision for enterprise-wide adoption of intelligent systems., • Design and implement enterprise applications that integrate AI/ML capabilities, ensuring solutions are scalable, secure, and high performing., • Provide technical leadership and mentorship to development teams, ensuring best practices in software engineering, data management, and cloud computing., • Bridge the gap between business needs and technical execution by collaborating closely with business leaders, engineers, and data scientists., • Establish and promote architectural standards that drive innovation and efficiency across the organization., • Ensure seamless integration between AI/ML models and core business applications, optimizing performance and maintainability., • Lead discussions with executive stakeholders, translating complex technical concepts into clear business value propositions., • Solve complex technical challenges, including scalability, security, and real-time data processing., • Understand enterprise data architecture and how data platforms, including Databricks, fit into AI/ML and analytics-driven solutions., • Stay ahead of emerging trends in AI, cloud computing, and enterprise software development, positioning the organization for long-term success. What We Need From You • Bachelor's Degree Computer Science, MIS, or related field, or equivalent combination of education and experience. Req, • 8+ years of experience specifically in solution architecture. Required, • 10+ years of experience in software development Required, • Proven experience as both an enterprise architect and a hands-on solution architect, capable of bridging high-level strategy with day-to-day implementation. Required, • Full-stack development experience in .NET, including front-end frameworks such as Blazor, React, or Angular, and back-end services. Required, • Experience with event-driven architectures and real-time data streaming, including Kafka or similar technologies. Required, • Experience with enterprise data management principles and platforms, including Databricks, and how they support AI-driven solutions. Required, • Experience with CI/CD pipelines, Infrastructure as Code, and containerization. Required, • Experience with infrastructure automation and container orchestration, including Kubernetes, Terraform, or similar technologies. Required, • Experience in financial services, insurance, automotive, sports, hospitality, entertainment, or related industries. Preferred, • Experience with high-performance computing or distributed systems. Preferred, • Deep expertise in enterprise software architecture, microservices, and distributed systems., • Strong background in cloud computing with extensive hands-on experience in AWS services., • Expertise in API design and management, including RESTful and event-driven APIs., • Strong understanding of integrating AI/ML capabilities into enterprise applications, collaborating with data science teams to bring models into production., • Demonstrated ability to engage with executive stakeholders, build strong relationships, and instill confidence in technical strategies., • Deep knowledge of security, compliance, and best practices for enterprise software solutions., • Thrives at the intersection of technology, strategy, and execution. Travel Requirements 20% Minimal travel is required for this position (up to 20% of the time and on a domestic basis). Join Us The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at . We celebrate diversity and are committed to creating an inclusive environment for all associates. #LI-TW1

Locations available: Houston East - Texas or Louisianna Role Description The Diagnostics Solutions Consultant (DSC) is a field-based customer facing member of our sales team accountable for selling Zoetis diagnostic instruments, tests and associated products and services within an assigned US sales territory. The DSC will also be accountable for building and maintaining customer relationships to maximize customer retention. The DSC will achieve budgeted sales quotas within targeted accounts in assigned territory. DSC will update and maintain sales funnel and customer profile data within system. DSC will collaborate with the other Zoetis colleagues to achieve goals and support the diagnostics business. Anticipated travel within assigned territory as required (up to 70%-80%). Must Speak fluent English Position Responsibilities • Develop and maintain thorough understanding of Diagnostic products and service., • Travel to offices of existing and prospective customers, with a target of 3-4 existing customers and 3-4 new business opportunities per day. (Extensive driving required as well as periodic overnight travel (approximately at 4-8 nights per month, depending on territory))., • Detailed documentation of all customer and prospect interactions via the online system., • Transport equipment to customer and prospective customer locations., • Lift, set-up and demonstrate diagnostic solutions, equipment and features., • Clearly explain the uses and benefits of diagnostic products and services; answer questions; effectively communicate "value proposition"., • Secure purchase orders for diagnostic products and services., • Provide ongoing customer support, including assisting customers (in person and over the phone and via email) with product, technical or service concerns, making periodic customer courtesy calls, keeping clients informed of new products and services (including possible updates to existing instrumentation), and interfacing as needed with sales, accounting and technical staff to ensure customer questions and needs are timely addressed., • Work cooperatively with the Diagnostic Technical Specials to ensure strong customer service and enhance utilization., • Generate new business and new business leads, including placing instruments in competitor's accounts, academia and research settings and gathering referrals from existing customers., • Support billing and collection efforts., • Minimum of 3 years of demonstrated sales experience, or relevant technical/clinical experience, preferably in the medical, scientific, or healthcare industry. Animal health experience strongly preferred. Sales in medical devices or capital equipment are preferred but not required., • Exemplifies early adopter behaviors for rapid learning ability., • Absorbs and applies technical information and demonstrates skilled technical sales capabilities., • Capably grows technical knowledge through relationships, creative solutions, and enhances customer loyalty., • Team oriented to achieve overall success in territory and region, • Strong time management skills, • Route planning for efficiency, • Demonstrate expertise in veterinary terminology/science., • Demonstrated skills selling capital equipment in physician and/or veterinary clinics., • Skilled at making presentations (including financial presentations) at all levels. Ability to transport, set-up and demonstrate equipment quickly and effectively., • Balances strategic and tactical business requirements., • Superior understanding of current and possible future market trends, sales initiatives, and information affecting the business and organization., • Knows the competition and their value messaging., • Demonstrates an understanding of how strategies and tactics work in the marketplace., • Demonstrated organizational, prioritization, and time management skills., • Strong ability to multi-task and work independently., • Valid Driver's License, clean driving record, auto insurance. Full time Regular Colleague Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search. Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications. Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at site, or (2) via email to/from addresses using only the Zoetis domain of "@zoetis.com". In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.

Operations Manager (Accelerated Development Program) Build a Career That Matters with One of the World's Most Respected Employers! Michelin has an immediate opening for a leader of operations coordinating their collection of business units, which include up to 500+ people. This role aims to achieve significant performance goals in safety, machine availability, quality, and cost. Michelin's purpose is to support everyone's right to move freely to find their better way forward. This role empowers people to provide the best products in the world while helping them grow and achieve their career aspirations. If respect for people, teamwork and trust are some values you live by you should consider joining us, the Worldwide Leader in Tires. Furthermore, the position will be part of an accelerated development program with a goal of positioning the new leader to rapidly gain experience and grow quickly within the organization. We are expecting this new passionate leader to gain experience and rapidly promote into higher level operations roles within the company to include Plant Manager, multi-site Industrial Director and beyond. Therefore, we need this person to be relocatable to most of our North American locations as well as international broadening assignments. This opportunity will start in Spartanburg, SC for an opportunity to learn Michelin, our process and our people. Spartanburg is a beautiful town located about 30 mins east of Greenville, SC. You'll enjoy access to scenic mountains, beautiful beaches, and vibrant nearby cities such as Atlanta and Charlotte.After your initial learning assignment in Spartanburg, SC (12-18 months) your career plan will include an international expatiation to Nova Scotia, Canada (or Europe) in an Operations Manager role serving on the Plant Leadership Team. • Lead the collective performance of your Team in support of the manufacturing site's overall performance objectives., • Develop your Team, Peers, and other Leaders in the organization to answer business needs., • Effectively lead multi-functional and complementary teams in maintenance, reliability, quality, and progress to meet annual performance goals., • Monitor the short and long-term personnel needs of the facility to ensure succession needs are met and employees are afforded opportunities for development and career growth., • Drive performance and progress in your area of responsibility., • Serve as a truly cross functional leader with the capacity to bring Team's together to meet ambitious goals., • Be a constant and effective communicator to the plant leadership, your Team and the outside community., • BS degree in a technical field preferred. Master's degree in business preferred., • 8+ years of overall experience, preferred in a process centered manufacturing environment as well as 6+ years of growing management/leadership responsibility or applicable military experiences., • Strong history of successfully managing large teams or units., • Outstanding Leadership skills with the ability to motivate and influence others., • Strong oral and written communication skills; ability to communicate throughout all levels of the company., • Demonstrated ability to achieve goals using organization change principles., • Geographically mobile to most Michelin US sites and open to future international assignments. Mobile to Nova Scotia, Canada or Central Europe within 1 year of starting your Michelin career. #LI-Brooks Ready to Shape the Future of Innovation? Michelin is building a world-leading manufacturer of life-changing composites and experiences. Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world. Drawing on its deep know-how in polymer composite materials, Michelin is constantly innovating to manufacture high-quality tires and components for critical applications in demanding fields as varied as mobility, construction, aeronautics, low-carbon energies and healthcare. The care placed in its products and deep customer knowledge inspire Michelin to offer the finest experiences. This spans from providing data- and AI-based connected solutions for professional fleets to recommending outstanding restaurants and hotels curated by the MICHELIN Guide. Why Michelin? * Career Growth: Personalized development plans, mentorship, and cross-functional opportunities. Unique career paths and opportunities for advancement. * Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized. Option to join one of our Connected Communities. * Innovation-Driven: Work on projects that matter-from sustainable materials to digital transformation. * Community Impact: Be part of a company that does what's right. We use sustainable business practices while balancing the needs of our customers and communities. Michelin provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at ___. This position is not available for immigration sponsorship. We build the future with people like you. Begin your career with Michelin today!

Job Description JOB DESCRIPTION SUMMARY Assume a pivotal role in assessing and managing market risks within trading environments. You will provide risk control analysis for global and regional trading activities. Responsibilities encompass conducting stress testing, analyzing exposure limits, and evaluating value at risk (VaR) to fortify risk management strategies. Collaborate closely with senior analysts to contribute to the refinement of risk models and offer insights into market dynamics. KEY DUTIES and RESPONSIBILITIES • Execute daily risk control process and risk reports; working alongside with traders, operators and IT to manage market risk., • Ensure daily data integrity, validate positions and reconcile data inconsistences with traders., • Monitor and report daily price exposure, mark-to-market and P&L to management., • Monitor market trends and analyze data to detect potential risks within trading settings., • Contribute to the development and enhancement of market risk models, including VaR models, stress testing frameworks, and scenario analysis tools., • Collaborate with quantitative analysts to refine model assumptions, validate model outputs, and ensure accuracy in risk measurement., • Apply advanced statistical techniques and machine learning algorithms to improve the accuracy and predictive power of market risk models., • Explore innovative approaches to analyze market data, identify emerging risks, and enhance risk management strategies., • Execute stress testing and scrutinize exposure limits under senior guidance for accurate risk assessment., • Assist in crafting reports detailing market risk metrics like VaR and scenario analysis., • Coordinate with the risk management team to ensure alignment with regulatory mandates and internal protocols., • Contribute to the development and upkeep of risk management models and tools tailored for market risk evaluation., • Engage in discussions to furnish insights into market risk factors and their potential effects on trading operations., • Support the implementation of risk mitigation strategies to curtail potential losses. Internal Communication • Collaborate with traders, operators and IT to produce accurate daily risk reports., • Actively participate in team discussions to analyze risk assessment findings and propose effective mitigation strategies., • Collaborate with market data providers to gather relevant information essential for risk analysis and decision-making. Education and Skills (Required, Preferred) • Bachelor's degree in finance, economics, mathematics, or a related field., • Proficiency in Microsoft Excel and other relevant analytical tools., • Strong numerical and analytical skills., • Excellent written and verbal communication skills., • Proficiency in advanced analytical tools such as Python, R, or MATLAB., • Minimum 5 years of experience in a related field., • Ability to work with financial data and perform quantitative analysis., • Familiarity with risk management concepts and methodologies., • Experience in quantitative finance, risk management, or related fields., • Proven track record in developing and implementing risk models and methodologies., • Ability to work independently and collaboratively in a fast-paced environment., • Strong problem-solving skills and critical thinking ability., • Capacity to prioritize tasks and manage time effectively., • Demonstrated ability to adapt to evolving market conditions and regulatory requirements., • Strong interpersonal skills for effective collaboration with colleagues and stakeholders. NO THIRD-PARTY CANDIDATES ACCEPTED Powered by JazzHR SxDM0HfDsh

Job Description Job Descriptions - Human Resources Department Position: Teacher Department/Campus: Campus Reports to Principal FLSA Status: Exempt Pay Grade Teacher Pay Scale Job Type Full-Time Work Hours Normal Work hours (193 days) JOB ROLES: Provide students with appropriate learning activities and experiences in the subject area(s) assigned to help students fulfill their potential for intellectual, emotional, physical, and social growth. QUALIFICATIONS: • Bachelor’s degree from an accredited college or university., • Meet Texas “highly qualified” standards., • Texas Teacher Certificate appropriate for level and subject area of assignment (required for ESL/Bilingual, SPED, Pre-K, and preferred for other subjects). KNOWLEDGE AND SKILLS: • Knowledge of curriculum and instruction, • Ability to communicate effectively in both written and oral forms with all levels of management, both internal and external to the campus., • Ability to establish and maintain effective working relationships both internal and external to the district., • Ability to use computers including software, database used by the district, spreadsheet and word processing software, calculator, copy machine, and telephone., • Plan a program of study that, as much as possible, meets the individual needs, interests, and abilities of the students., • Create a classroom environment that is conducive to learning and appropriate to the maturity and interests of the students., • Prepare lessons that reflect accommodations for individual differences., • Prepare for classes assigned and show written evidence of preparation upon request of immediate supervisor., • Encourage students to set and maintain standards of classroom behavior., • Guide the learning process toward the achievement of curriculum goals and, in SST Schools with the goals, establish clear objectives for all lessons, units, projects, and the like to communicate these objectives to the students., • Employ a variety of instructional techniques and instructional media consistent with the physical limitations of the location provided, and the needs and capabilities of the individuals or student groups involved., • Strive to implement, by instruction and action, the district’s philosophy of education and instructional goals and objectives., • Assess the accomplishments of the students on a regular basis and provide progress reports as required., • Refer students for evaluation by district specialists as required., • Take necessary and reasonable precautions to protect the students, equipment, materials, and facilities., • Maintain accurate, complete, and correct records as required by law, district policy, and administrative regulations., • Assist the administration in implementing all policies and rules governing student life and conduct., • Develop reasonable rules of classroom behavior. Maintain order in the classroom in a fair and just manner., • Make provisions for being available to the students and to the parents for education-related purposes when required., • Plan and supervise purposeful assignments for teacher aide(s) and volunteer(s) and, cooperatively with department heads, evaluate their job performance., • Maintain and improve professional competence., • Participate in district and campus staff development., • Attend staff meetings and serve on staff committees., • Maintain a professional relationship with colleagues., • Establish and maintain open lines of communication with students, parents, and community members., • Prepare and submit lesson plans in a timely manner in the platform the school utilizes., • Maintain a minimum number of grades in the Gradebook in a timely manner., • Meet the mentor teacher regularly (if new teacher), • Perform other duties as assigned. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: • Light Work: may require occasional light lifting., • Nights and weekend activities will be occasionally required., • Position is in an office setting and may involve prolonged work at a desk in one location., • Moderate travel is required.

Job Description Job Descriptions - Human Resources Department Position: Teacher Department/Campus: Campus Reports to Principal FLSA Status: Exempt Pay Grade Teacher Pay Scale Job Type Full-Time Work Hours Normal Work hours (193 days) JOB ROLES: Provide students with appropriate learning activities and experiences in the subject area(s) assigned to help students fulfill their potential for intellectual, emotional, physical, and social growth. QUALIFICATIONS: • Bachelor’s degree from an accredited college or university., • Meet Texas “highly qualified” standards., • Texas Teacher Certificate appropriate for level and subject area of assignment (required for ESL/Bilingual, SPED, Pre-K, and preferred for other subjects). KNOWLEDGE AND SKILLS: • Knowledge of curriculum and instruction, • Ability to communicate effectively in both written and oral forms with all levels of management, both internal and external to the campus., • Ability to establish and maintain effective working relationships both internal and external to the district., • Ability to use computers including software, database used by the district, spreadsheet and word processing software, calculator, copy machine, and telephone., • Plan a program of study that, as much as possible, meets the individual needs, interests, and abilities of the students., • Create a classroom environment that is conducive to learning and appropriate to the maturity and interests of the students., • Prepare lessons that reflect accommodations for individual differences., • Prepare for classes assigned and show written evidence of preparation upon request of immediate supervisor., • Encourage students to set and maintain standards of classroom behavior., • Guide the learning process toward the achievement of curriculum goals and, in SST Schools with the goals, establish clear objectives for all lessons, units, projects, and the like to communicate these objectives to the students., • Employ a variety of instructional techniques and instructional media consistent with the physical limitations of the location provided, and the needs and capabilities of the individuals or student groups involved., • Strive to implement, by instruction and action, the district’s philosophy of education and instructional goals and objectives., • Assess the accomplishments of the students on a regular basis and provide progress reports as required., • Refer students for evaluation by district specialists as required., • Take necessary and reasonable precautions to protect the students, equipment, materials, and facilities., • Maintain accurate, complete, and correct records as required by law, district policy, and administrative regulations., • Assist the administration in implementing all policies and rules governing student life and conduct., • Develop reasonable rules of classroom behavior. Maintain order in the classroom in a fair and just manner., • Make provisions for being available to the students and to the parents for education-related purposes when required., • Plan and supervise purposeful assignments for teacher aide(s) and volunteer(s) and, cooperatively with department heads, evaluate their job performance., • Maintain and improve professional competence., • Participate in district and campus staff development., • Attend staff meetings and serve on staff committees., • Maintain a professional relationship with colleagues., • Establish and maintain open lines of communication with students, parents, and community members., • Prepare and submit lesson plans in a timely manner in the platform the school utilizes., • Maintain a minimum number of grades in the Gradebook in a timely manner., • Meet the mentor teacher regularly (if new teacher), • Perform other duties as assigned. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: • Light Work: may require occasional light lifting., • Nights and weekend activities will be occasionally required., • Position is in an office setting and may involve prolonged work at a desk in one location., • Moderate travel is required.

Job Description Job Descriptions - Human Resources Department Position: Teacher Department/Campus: Campus Reports to Principal FLSA Status: Exempt Pay Grade Teacher Pay Scale Job Type Full-Time Work Hours Normal Work hours (193 days) JOB ROLES: Provide students with appropriate learning activities and experiences in the subject area(s) assigned to help students fulfill their potential for intellectual, emotional, physical, and social growth. QUALIFICATIONS: • Bachelor’s degree from an accredited college or university., • Meet Texas “highly qualified” standards., • Texas Teacher Certificate appropriate for level and subject area of assignment (required for ESL/Bilingual, SPED, Pre-K, and preferred for other subjects). KNOWLEDGE AND SKILLS: • Knowledge of curriculum and instruction, • Ability to communicate effectively in both written and oral forms with all levels of management, both internal and external to the campus., • Ability to establish and maintain effective working relationships both internal and external to the district., • Ability to use computers including software, database used by the district, spreadsheet and word processing software, calculator, copy machine, and telephone., • Plan a program of study that, as much as possible, meets the individual needs, interests, and abilities of the students., • Create a classroom environment that is conducive to learning and appropriate to the maturity and interests of the students., • Prepare lessons that reflect accommodations for individual differences., • Prepare for classes assigned and show written evidence of preparation upon request of immediate supervisor., • Encourage students to set and maintain standards of classroom behavior., • Guide the learning process toward the achievement of curriculum goals and, in SST Schools with the goals, establish clear objectives for all lessons, units, projects, and the like to communicate these objectives to the students., • Employ a variety of instructional techniques and instructional media consistent with the physical limitations of the location provided, and the needs and capabilities of the individuals or student groups involved., • Strive to implement, by instruction and action, the district’s philosophy of education and instructional goals and objectives., • Assess the accomplishments of the students on a regular basis and provide progress reports as required., • Refer students for evaluation by district specialists as required., • Take necessary and reasonable precautions to protect the students, equipment, materials, and facilities., • Maintain accurate, complete, and correct records as required by law, district policy, and administrative regulations., • Assist the administration in implementing all policies and rules governing student life and conduct., • Develop reasonable rules of classroom behavior. Maintain order in the classroom in a fair and just manner., • Make provisions for being available to the students and to the parents for education-related purposes when required., • Plan and supervise purposeful assignments for teacher aide(s) and volunteer(s) and, cooperatively with department heads, evaluate their job performance., • Maintain and improve professional competence., • Participate in district and campus staff development., • Attend staff meetings and serve on staff committees., • Maintain a professional relationship with colleagues., • Establish and maintain open lines of communication with students, parents, and community members., • Prepare and submit lesson plans in a timely manner in the platform the school utilizes., • Maintain a minimum number of grades in the Gradebook in a timely manner., • Meet the mentor teacher regularly (if new teacher), • Perform other duties as assigned. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: • Light Work: may require occasional light lifting., • Nights and weekend activities will be occasionally required., • Position is in an office setting and may involve prolonged work at a desk in one location., • Moderate travel is required.

Job Description Job Descriptions - Human Resources Department Position: Teacher Department/Campus: Campus Reports to Principal FLSA Status: Exempt Pay Grade Teacher Pay Scale Job Type Full-Time Work Hours Normal Work hours (193 days) JOB ROLES: Provide students with appropriate learning activities and experiences in the subject area(s) assigned to help students fulfill their potential for intellectual, emotional, physical, and social growth. QUALIFICATIONS: • Bachelor’s degree from an accredited college or university., • Meet Texas “highly qualified” standards. KNOWLEDGE AND SKILLS: • Knowledge of curriculum and instruction, • Ability to communicate effectively in both written and oral forms with all levels of management, both internal and external to the campus., • Ability to establish and maintain effective working relationships both internal and external to the district., • Ability to use computers including software, database used by the district, spreadsheet and word processing software, calculator, copy machine, and telephone., • Plan a program of study that, as much as possible, meets the individual needs, interests, and abilities of the students., • Prepare lessons that reflect accommodations for individual differences., • Prepare for classes assigned and show written evidence of preparation upon request of immediate supervisor., • Encourage students to set and maintain standards of classroom behavior., • Guide the learning process toward the achievement of curriculum goals and, in SST Schools with the goals, establish clear objectives for all lessons, units, projects, and the like to communicate these objectives to the students., • Employ a variety of instructional techniques and instructional media consistent with the physical limitations of the location provided, and the needs and capabilities of the individuals or student groups involved., • Strive to implement, by instruction and action, the district’s philosophy of education and instructional goals and, • objectives., • Assess the accomplishments of the students on a regular basis and provide progress reports as required., • Refer students for evaluation by district specialists as required., • Take necessary and reasonable precautions to protect the students, equipment, materials, and facilities., • Maintain accurate, complete, and correct records as required by law, district policy, and administrative regulations., • Assist the administration in implementing all policies and rules governing student life and conduct., • Develop reasonable rules of classroom behavior. Maintain order in the classroom in a fair and just manner., • Make provisions for being available to the students and to the parents for education-related purposes when required., • Plan and supervise purposeful assignments for teacher aide(s) and volunteer(s) and, cooperatively with department heads, evaluate their job performance., • Maintain and improve professional competence., • Participate in district and campus staff development., • Attend staff meetings and serve on staff committees., • Maintain a professional relationship with colleagues., • Establish and maintain open lines of communication with students, parents, and community members., • Prepare and submit lesson plans in a timely manner in the platform the school utilizes., • Maintain a minimum number of grades in the Gradebook in a timely manner., • Meet the mentor teacher regularly (if new teacher), • Perform other duties as assigned. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: • Light Work: may require occasional light lifting., • Position is in an office setting and may involve prolonged work at a desk in one location.

Job Description COMPANY OVERVIEW Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group—a FORTUNE Global 300 company and one of South Korea's most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America's growing data center industry. Our expertise covers the entire energy value chain—from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets. Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of: • Hanwha Renewables – specializing in utility-scale solar and battery energy storage systems (BESS), • Chariot Energy – providing retail electricity services for residential, commercial, and industrial customers in deregulated markets POSITION OVERVIEW We are seeking a Cloud & AI Infrastructure Engineer to design, build, operate, and optimize the Azure and AI platform that supports our internal applications, AI agents, copilots, automations, and enterprise data workloads. This role is responsible for providing a secure, reliable, and cost-effective cloud foundation as our AI and application landscape scales. The ideal candidate will bring strong hands-on experience with Azure infrastructure, infrastructure-as-code, CI/CD, monitoring, observability, and cloud cost optimization. This person will work closely with Application Development and Data Management to ensure AI-enabled solutions are production-ready, well-governed, and operationally supportable. This is not a general infrastructure support role. We are looking for an engineer who can help establish modern cloud engineering discipline around provisioning, deployment, logging, monitoring, security, and cost control for AI-enabled systems. The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies. RESPONSIBILITIES • Design and provision Azure and AI resources using infrastructure-as-code, ensuring consistency, scalability, and maintainability., • Establish and enforce standards for networking, identity, monitoring, security, tagging, and cloud resource governance., • Build and maintain CI/CD pipelines for AI-enabled applications, internal platforms, agents, and automations., • Implement and support logging, telemetry, monitoring, and observability practices for AI and cloud-based workloads., • Partner with Application Development and Data Management to ensure solutions are deployed and operated in a secure, reliable, and supportable manner., • Manage Azure and AI platform environments across development, testing, and production., • Monitor and optimize Azure and Azure OpenAI usage and spend, right-size resources, and help improve cloud cost visibility and efficiency., • Partner with Finance and IT leadership on cloud cost reporting, chargeback visibility, and optimization opportunities., • Support identity, access, secrets, and security practices required for enterprise cloud and AI workloads., • Help define and maintain operational standards for backup, resiliency, recovery, alerting, and support readiness., • Troubleshoot deployment, performance, connectivity, and infrastructure issues affecting applications, agents, and cloud services., • Contribute to architecture discussions related to hosting, integration, scaling, environment design, and operational controls., • Document cloud patterns, standards, deployment approaches, and support procedures in a clear and practical way., • Evaluate and introduce appropriate tools and patterns that improve reliability, delivery speed, visibility, and cost management. REQUIRED QUALIFICATIONS • Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field. Equivalent experience may be considered., • 4+ years of experience in cloud engineering, platform engineering, DevOps, or infrastructure engineering., • Strong hands-on experience with Microsoft Azure services and cloud architecture., • Experience with infrastructure-as-code such as Terraform, Bicep, ARM templates, or similar tools., • Experience building and maintaining CI/CD pipelines for application and platform deployment., • Experience implementing monitoring, logging, alerting, and observability for production systems., • Understanding of identity, access control, security, and networking concepts in cloud environments., • Experience supporting production applications and cloud platforms with a focus on reliability and operational excellence., • Strong troubleshooting and problem-solving skills., • Experience supporting AI or machine learning workloads in Azure., • Familiarity with Azure OpenAI and the infrastructure patterns needed to support AI-enabled applications., • Experience with containerization, orchestration, or modern hosting models., • Experience with FinOps, cloud cost optimization, tagging governance, or cost reporting., • Experience with secrets management, policy enforcement, and secure deployment patterns., • Experience in environments with custom internal applications, integrations, and growing cloud platforms., • Azure architecture and provisioning, • Infrastructure-as-code, • CI/CD pipeline engineering, • Logging and observability, • Monitoring and alerting, • Identity and access controls, • Cloud networking and security, • Azure OpenAI platform support, • Cloud cost optimization, • Production support and reliability engineering In this role, success means: • Azure environments are provisioned consistently and governed effectively, • AI-enabled applications and agents are deployed through repeatable and reliable pipelines, • Logging, observability, and alerting are strong enough to support production operations, • Azure and Azure OpenAI usage is monitored and optimized for both performance and cost, • Cloud standards for identity, networking, security, and tagging are followed consistently, • Application Development and Data Management teams can move faster because the platform foundation is stable and well run, • IT leadership and Finance have clearer visibility into cloud consumption and optimization opportunities COMPENSATION: $160,000 - $190,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates. Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

Job Description Job Summary: We are seeking a technically deep and visionary AI/ML Engineer to lead the development and deployment of agentic AI solutions and drive enterprise-wide data standardization. This role is pivotal to our AI transformation journey, enabling autonomous AI agents that streamline operations, enhance decision-making, and unlock new efficiencies across the organization. The ideal candidate will possess a hybrid skill set spanning machine learning, data engineering, and software development, with a passion for building scalable AI systems and a strong foundation in data governance. Key Responsibilities: • Design, develop, and deploy agentic AI systems that autonomously execute multi-step workflows across business functions (e.g., IT, HR, Finance, Operations)., • Collaborate with cross-functional teams to identify high-impact AI use cases and translate them into technical solutions., • Build and maintain robust ML pipelines, including data ingestion, model training, deployment, and monitoring (MLOps)., • Lead data standardization initiatives to ensure high-quality, consistent, and AI-ready data across systems., • Partner with data engineering and IT teams to define and implement data governance frameworks, taxonomies, and metadata standards., • Monitor and optimize AI model performance in production environments, ensuring reliability, scalability, and alignment with business goals., • Serve as a technical advisor on AI/ML best practices, tools, and emerging technologies., • Support change management efforts to improve data literacy and promote standardization best practices, • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field., • 5+ years of experience in machine learning engineering, data science, or AI solution development., • Proven experience deploying ML models into production environments using cloud platforms (e.g., Azure, AWS, GCP)., • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn., • Strong understanding of data structures, algorithms, and software engineering principles., • Experience with data governance, data quality frameworks, and enterprise data architecture., • Familiarity with MLOps tools and practices (e.g., CI/CD for ML, model monitoring, versioning)., • Experience building or integrating AI agents or autonomous systems., • Knowledge of enterprise systems (e.g., ERP, CRM) and their data structures., • Familiarity with data visualization tools (e.g., Power BI / SSRS) and SQL. FET is an Equal Opportunity Employer. FET does not discriminate on the basis of race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected under federal, state, or local law. All employment decisions and practices at FET are subject to the foregoing non-discrimination provisions and are based solely on merit, competence, performance, and business needs at the time.

Job Description Microvast Holdings, Inc. (Nasdaq: MVST) is a technology innovator that designs, develops and manufactures lithium-ion battery solutions. Founded in 2006 and headquartered in Houston, TX, Microvast is renowned for its cutting-edge cell technology and its vertical integration capabilities which extends from core battery chemistry (cathode, anode, electrolyte, and separator) to battery packs. By integrating the process from raw material to system assembly, Microvast has developed a family of products covering a broad breadth of market applications. More information can be found on the corporate website: Job Description Microvast is seeking a lead BMS Engineer to join our team! Who can bring their fresh perspectives and experiences to the team. If you are zealous about an electrified future and looking for a place that values your curiosity, passion, and desire to learn, you have come to the right place. Duties/Responsibilities • Provide technical, and cross-functional support for BMS engineering activities, including process control, requirements definition, architecture design, software implementation, HIL testing, field testing, system validation, and software release management., • Collaborate with the global BMS teams and upper management to identify and develop (BMS) architecture and requirements for high-performance system functions, functional safety, cyber security, and creative solutions., • Manage BMS development plans, milestones, budgets, and schedules in accordance with technology roadmaps., • Build and maintain technical competencies in the BMS software, hardware, and validation teams. Provide technical guidance, mentorship, and leadership., • Ensure successful BMS integration with battery packs and external interfaces such as vehicle control units, dataloggers, etc., • Develop and maintain best practices and industry standards for Model-based function development with MATLAB/ Simulink in close consultation with an interdisciplinary and international team., • Govern design, implementation, and test activities for innovative control algorithms and Real-time battery SOX estimation methods, including the state of charge (SOC), state of energy (SOE), and state of health (SOH)., • Manage the development of statistic based on big data and machine learning models for predicting and forecasting field failure, cell chemistry variations, battery health degradation, and how various driving behaviors affect battery performance for safety and drivability., • Focus and govern collaborative engineering culture to enable our teams to provide feedback and different perspectives. Comprehend and develop our team members' goals and needs., • Provide technical support to the different teams within the organization, • Support for the commissioning of products internally or at the customer's(on-site or remotely), • Other duties may be assigned Qualifications: • Bachelor's or Master’s degree in computer science, electrical or other relevant engineering field or a comparable qualification, • 5+ years' experience in large, high-voltage battery pack development, from concept to market., • Over 3 years’ experience of leading/management of engineering teams., • Experience with battery management system (BMS) development and verification for high voltage battery packs., • Knowledge and experience of BM development according to functional safety ISO 26262 and cybersecurity ISO 21434, • Strong knowledge of embedded control software development process and documentation for safety-critical functions., • Experience using MATLAB/Simulink for model-based control development and electrical circuit/control simulation., • Excellent knowledge and experience of CAN communication protocols (SAE J1939, CAN 2.0B etc.), • Knowledge of requirements management and development process (IATF16949, APQP or V model, etc.), • Very good comprehension and analytical thinking skills, • Careful and conscientious, structured and organized way of working, • Team and communication skills This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job Description As an AI/ML Full Stack Engineer at Calpine Inc., you will contribute to the development of AI-driven tools and applications to optimize energy operations, enhance forecasting, and improve operational efficiency. You will work on both front-end and back-end development, integrating machine learning models, including large language models (LLMs) and generative AI, into Calpine’s energy management systems. This role is ideal for professionals with up to 5 years of experience who are passionate about AI, web development, and solving real-world energy sector challenges. Job Responsibilities • AI/ML Integration: Collaborate with data scientists to integrate machine learning models (e.g., using TensorFlow, PyTorch, or scikit-learn) for applications such as energy demand forecasting, predictive maintenance, or carbon emission optimization., • Back-End Development: Develop and optimize server-side logic, APIs, and database interactions using Python (Flask, FastAPI, or Django) or Node.js to support energy data processing., • App Development: Build and maintain responsive user interfaces for internal tools and dashboards using modern JavaScript frameworks (e.g., React, Vue.js) and CSS frameworks like Tailwind CSS., • Generative AI Development: Design and implement generative AI solutions, including LLM-based applications (e.g., using models like GPT or BERT), to create automated reports, simulate energy scenarios, or enhance decision-support tools for operational teams., • Data Pipeline Support: Assist in building and maintaining data pipelines for processing real-time and historical energy data to support AI-driven applications., • API Development: Design and implement RESTful APIs to connect front-end interfaces with AI/ML back-end services and energy data systems., • Testing and Debugging: Write unit and integration tests to ensure code quality and debug issues across the full stack., • Collaboration: Work with energy analysts, engineers, and product managers to deliver solutions that align with Calpine’s operational and sustainability goals., • Continuous Learning: Stay updated on AI/ML advancements, including generative AI and LLMs, full-stack development trends, and energy industry innovations to contribute innovative ideas. Requirements Experience: • Position typically requires 10 years of IT experience, with 5 years of experience focused in software development, with hands-on exposure to full-stack development and experience with AI/ML projects (professional work, internships, personal projects, or coursework acceptable). AI/ML Experience: • Candidates should have experience or demonstrable familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn, with a focus on developing, fine-tuning, or deploying machine learning models for practical applications., • Exposure to building or integrating AI-driven solutions, such as predictive analytics, anomaly detection, or optimization algorithms, is highly valued., • Experience with generative AI platforms and large language model (LLM)-based applications, such as chatbots, automated content generation, or decision-support systems, is a significant plus., • Candidates should demonstrate an ability to apply AI/ML techniques to solve business problems, ideally in domains like energy, operations, or data-driven decision-making. Education: • Bachelor’s degree in computer science, Engineering, Data Science, or a related field (or equivalent experience). Technical Skills: • Proficiency in Python (Node.js, React, or similar frameworks)., • Familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and generative AI platforms or LLMs (e.g., GPT, BERT, or similar)., • Experience with databases (e.g., PostgreSQL, MongoDB) and REST API development., • Basic understanding of cloud platforms (e.g., AWS, GCP, Azure) is a plus., • Knowledge of version control systems (e.g., Git). Soft Skills: • Strong problem-solving skills and eagerness to learn., • Ability to work collaboratively in a fast-paced, team-oriented environment., • Good communication skills to articulate technical concepts to non-technical stakeholders. Nice-to-Haves: • Experience with containerization (e.g., Docker) or CI/CD pipelines., • Familiarity with front-end styling frameworks like Tailwind CSS., • Exposure to energy sector data or analytics (e.g., time-series data, forecasting)., • Contributions to open-source projects or personal AI/ML projects, particularly those involving generative AI or LLM-based applications. BenefitsBenefits include: • Medical, vision and dental, • Prescription drug coverage, • Calpine’s Retirement Savings Plan (401(K)) matching, • Paid time off and paid parental leave, • Comprehensive health programs, including our Wellness Program, telemedicine, Employee Assistance Program, Health Care and Dependents Care Flexible Spending Accounts (FSAs) and more, • Life insurance, • Education reimbursement program, • Adoption assistance, • Scholarship and vocational grant programs, • Training and education opportunities, • Bonus eligible

Job DescriptionCompany Description Vitol is an energy and commodities company with revenues of $400 billion in 2023; its primary business is the trading and distribution of energy products globally – it trades over seven million barrels per day of crude oil and products and, at any time, has 250 ships transporting its cargoes. Vitol’s clients include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves clients from some 40 offices worldwide and is invested in energy assets globally including 16mm3 of storage, 480kbpd of refining capacity, and 7,000 service stations. To date, we have committed over $2.5 billion of capital to renewable projects, and are identifying and developing low-carbon opportunities around the world. Learn more about us here. This Role is located in Houston, TX - In office 5x a week Job Description As our portfolio of work continues to grow, we are looking for an experienced Machine Learning Engineer to join our data science and machine learning team. The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications. We work across the trading business, operations, and other support functions; so the individual will need to be comfortable working with a variety of stakeholders and technologies. The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing, exploratory analysis, model selection and tuning, and implementation of production models. The successful candidate will join a team of experienced, collaborative practitioners, who are (pragmatically) solving some of the most challenging and impactful problems the energy industry is facing; as well as pushing the boundaries around the ‘art of the possible’. Core Responsibilities include: • Design, develop, and deploy end-to-end machine learning and data science solutions across our wider business activities (including trading, operations, and support functions) - from raw data ingestion through to production-grade models and monitoring, • Drive adoption and development of the firm's internal GenAI chat platform as one of the technical leads, extending its capabilities through new integrations, data connectors, and domain-specific prompt engineering; work closely with trading desks and operational teams to identify high-value use cases, embed the tool into day-to-day workflows, and ensure outputs are robust, and trusted by end users., • Apply a broad range of modelling techniques - including time-series forecasting, NLP, classification, and generative AI - to commodity pricing, supply/demand signals, trade flow analysis, and operational optimization problems, • Own the full data science lifecycle on assigned projects: data sourcing and cleaning, exploratory analysis, feature engineering, model selection and validation, deployment, and ongoing performance monitoring, • Build and maintain robust, well-tested, production-quality code; contribute to shared infrastructure including ML pipelines, data orchestration, and model serving layers, • Integrate ML and GenAI outputs into existing trading systems, dashboards, and workflows; work with software engineers to ensure reliable, scalable adoption across the business, • Communicate analytical findings and model outputs clearly to non-technical stakeholders; present results, assumptions, and limitations in a manner that supports confident commercial decision-making, • Actively participate in code reviews, experiment design, and tooling decisions; mentor colleagues and help raise the overall standard of analytical and engineering practice across the team Qualifications • Master’s degree or equivalent in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field, • Fluency in Python for both data science and engineering purposes: clean, modular, well-documented code, with strong understanding of software engineering best practices including version control, testing, and code review, • 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in production environments, • Demonstrable experience applying a broad range of ML methodologies (supervised and unsupervised learning, time-series modelling, NLP/LLMs, optimization) to real-world business problems, • Strong proficiency with ML frameworks (e.g. PyTorch, scikit-learn, Transformers) and experience building or consuming LLM-based pipelines and GenAI applications, • Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization (Docker/Kubernetes), CI/CD, data pipeline orchestration (e.g. Airflow, Dagster), and model serving, • Strong analytical and problem-solving ability: capable of defining and scoping open-ended problems, proposing sound methodological approaches, and defending modelling choices with rigorous reasoning, • Excellent written and verbal communication skills, with the confidence to present model outputs, caveats, and commercial implications clearly to non-technical audiences including traders and senior management, • Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts, • Experience surfacing ML outputs through interactive tools (e.g. Dash, Streamlit, or similar) and presenting use cases to non-technical audiences, including traders and senior management, • Time-series modelling in a trading or financial context, including both ML-based and econometric approaches (e.g. ARIMA, cointegration, regime-switching models), • Data orchestrators (Airflow, Dagster) and cloud-based ETL/ELT pipelines Additional Information Personal Characteristics • A self-motivated individual who thrives on seeing the results of their work make an impact in the business, • Pragmatic and delivery-focused: comfortable navigating ambiguity, balancing rigor with speed, and making sound judgements under uncertainty, • Methodical and detail-oriented: rigorous in experimental design, data validation, and code quality, with a disciplined approach to documenting assumptions and results, • Resourceful, able to think creatively and adapt in a dynamic environment, • Team player, with an open non-political style and a high level of integrity, • Competitive salary and benefits package, • Large diversity of projects with real-world impacts on a truly global scale, • Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly, • Close collaboration with various business units across our key regions (eg. London, Singapore, Houston, Geneva), • A highly motivated DS and ML team comprised of experienced individuals with a supportive attitude and great team spirit, • Being part of the energy transition through increased emphasis on renewable & alternative energy sources at a pivotal moment in the industry

Job DescriptionCompany Description Vitol is the world’s largest independent energy and commodities trading company. Every day we use our expertise and logistical networks to distribute energy around the world, efficiently and responsibly. From 40 offices worldwide, we seek to add value across the energy supply chain, including deploying our scale and market understanding to help facilitate the energy transition. To date, we have committed over $1 billion of capital to renewable projects and are identifying and developing low-carbon opportunities around the world. Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here. This Role is located in Houston, TX - In office 5x a week Job Description As our portfolio of work continues to grow, we are looking for an experienced Software Engineer to join our global data science and machine learning team. This role will have an initial focus on supporting our GenAI tools, including our firmwide virtual assistant. Concretely this means you will: • Implement: take the requirements from our broad range of commercial stakeholders and translate these into application features., • Design: Ensure we design and build the models and tools to meet the functional/non-functional requirements, as well as being supportable. The role will also help partner teams understand how they can support and integrate to the AI tools. The role will also act as a bridge between the Data Science team and other technology teams for areas like application integration, data sourcing, infrastructure and tooling. For the successful candidate, this role will give them exposure across the machine learning lifecycle, being able to apply their skills wherever they can add value, from working with business stakeholders to help define the project, to data collation through to solution design and model implementation. We are looking for a candidate who brings both a breadth and depth of experience, from a theoretical and practical perspective; but equally someone who can and wants to continue learning. As a small team, everyone is expected to organize, prioritize and execute their own tasks; with a strong focus on maximizing the business value from their actions. This means the individual will need to be comfortable working on multiple projects simultaneously, managing competing priorities and stakeholder requirements. The successful candidate will join a team of experienced, collaborative practitioners, who are (pragmatically) solving some of the most challenging and impactful problems the energy industry is facing; as well as pushing the boundaries around the ‘art of the possible’. Core Responsibilities include: • Act as the primary point of contact in Houston for our GenAI toolset, • In conjunction with the global Data Scientists deliver models and solutions to business users, and other technology teams across a wide range of projects and technologies, • Develop, test, maintain software tools and data pipelines for machine learning, • Provide software engineering and design expertise and best practices (Python) with a focus on maintainability, performance, and reliability, • As needed, take ownership of key technical infrastructure, • Engage with projects at any point in their lifecycle, understand and debug bespoke applications; driving performance and reliability, • Manage relationships and priorities across projects, focused on maximising value, • Actively participating in and leading code reviews, experiment design and tooling decisions to help drive the team’s velocity and quality Qualifications Essential Qualifications • 3-5+ years in industry; fluency in Python with ability to design and write clean, modular, well-documented code and a solid understanding of coding best practices, • Master's degree in Computer Science or a related field, • Ability and desire to learn and apply new technologies, • Ability to logically evolve an architecture from prototype to product, considering technical debt and delivery risk, • Collaborative approach to problem solving - ability to effectively pair program, • Effective technical communicator - both written and verbal; able to translate loose designs into documentation / process / operating model, • Experience with data engineering, APIs, and cloud platforms (ideally AWS) and containerization technologies (Docker), • Experience with machine learning workflows, cloud scale machine learning infrastructure (including LLMs), • Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts, • A self-motivated individual who thrives on seeing the results of their work make an impact in the business, • Strong communication skills, both verbally and in writing, • Proven ability to be flexible, work hard, and a sense for the art of the possible, • Methodical, organized and with an attention to detail - in general, in experimental design, and in code!, • Willingness to share their knowledge and learn from others, • An interest in learning about the commodities space, • Resourceful, able to think creatively and adapt in a dynamic environment, • Team player, with an open non-political style and a high level of integrity, • Desire to be a thought-partner in a fast-growing team, and make an impact at a business that sits at the heart of the world’s energy flows Additional Information What we offer • Competitive salary and benefits package, • Large diversity of projects with real-world impacts on a truly global scale, • Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly, • Close collaboration with various business units across our key regions (eg. London, Singapore, Geneva), • A highly motivated DS and ML team comprised of experienced individuals with a supportive attitude and great team spirit, • Being part of the energy transition through increased emphasis on renewable & alternative energy sources at a pivotal moment in the industry

Job Description COMPANY OVERVIEW Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group—a FORTUNE Global 300 company and one of South Korea's most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America's growing data center industry. Our expertise covers the entire energy value chain—from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets. Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of: • Hanwha Renewables – specializing in utility-scale solar and battery energy storage systems (BESS), • Chariot Energy – providing retail electricity services for residential, commercial, and industrial customers in deregulated markets POSITION OVERVIEW We are seeking a Director of Data Engineering to lead the strategy, architecture, and delivery of a modern enterprise data platform. This leader will own and actively contribute to the enterprise data strategy and backlog, ensuring that data engineering, reporting, and analytics are coordinated under strong technical leadership and built on a governed, reliable, and scalable foundation. This is a hands-on leadership role for a player-coach who can operate at both the strategic and technical levels. The ideal candidate will go well beyond traditional SQL Server administration and reporting support. This person will help modernize our data environment by introducing the right technologies, patterns, and operating discipline across areas such as cloud data platforms, data lakes, streaming/event-driven data, data quality, lineage, semantic modeling, and AI-ready data architecture. This role is critical to ensuring that AI solutions, business reporting, and operational decision-making are powered by trusted, well-managed data with measurable business impact. The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies. RESPONSIBILITIES • Own and actively contribute to the enterprise data strategy and roadmap., • Define and prioritize the data engineering backlog, balancing foundational work, new business needs, AI enablement, reporting, and technical debt reduction., • Design and oversee key data models, pipelines, integration patterns, and analytics platforms that support AI, BI, operational reporting, and decision-making., • Lead data engineering and reporting teams including full-time employees, contractors, and vendors., • Stay close to the work by reviewing pipeline designs, resolving complex data issues, and guiding architecture and implementation decisions., • Establish practical standards for data quality, lineage, documentation, observability, governance, and operational support., • Drive the evolution of the company's data environment beyond basic SQL Server patterns into modern capabilities such as:, • cloud-based data platforms, • data lakes / lakehouse architectures, • streaming and near-real-time data pipelines, • scalable ELT/ETL frameworks, • governed semantic and analytics layers, • Partner with business stakeholders, application development teams, AI engineers, analysts, and leadership to ensure data platforms meet current and future needs., • Ensure data structures and delivery patterns support both business intelligence and AI use cases, including trusted source data, feature-ready datasets, retrieval-ready content, and performance-optimized views., • Evaluate and introduce appropriate new technologies, tools, and design patterns that improve scalability, maintainability, speed, governance, and cost efficiency., • Oversee data integration across enterprise systems such as ERP, CRM, project platforms, contract repositories, ticketing systems, and internally developed applications., • Collaborate with infrastructure, security, and application teams to ensure data solutions align with enterprise architecture, security controls, identity standards, and cloud strategy., • Build strong operating rhythms around prioritization, delivery, quality review, issue resolution, and stakeholder communication., • Mentor senior engineers and analysts while raising the technical maturity of the broader team. REQUIRED QUALIFICATIONS • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field. Equivalent experience may be considered., • 15+ years of progressive experience in data engineering, analytics engineering, data architecture, or enterprise data platform development., • 5+ years of leadership experience managing technical data teams., • Proven experience designing and delivering modern data pipelines and analytics platforms in a business environment with multiple stakeholders., • Strong experience with SQL and relational data platforms, but also a demonstrated ability to move beyond legacy-only approaches into modern data architecture., • Experience with cloud data platforms, data lakes, and scalable data pipeline design., • Experience with streaming, event-driven, or near-real-time data integration patterns., • Experience establishing standards for data quality, lineage, documentation, and governance., • Strong understanding of how data platforms support BI, reporting, analytics, and AI use cases., • Experience leading a mix of full-time employees, contractors, and/or vendor resources., • Experience with Azure-based data services and modern cloud-native data patterns., • Experience with lakehouse or data lake architectures., • Experience with streaming technologies and message/event-based integration patterns., • Experience supporting AI and machine learning use cases with well-structured, governed data., • Experience with semantic models, dimensional modeling, and performance optimization for analytics., • Experience in operationally complex or multi-entity environments. The ideal candidate should be comfortable working across a modern enterprise data environment that may include: • SQL Server and relational platforms, • Azure data services and cloud-native data tooling, • Data lakes / lakehouse patterns, • Streaming or event-driven data architectures, • ETL / ELT orchestration frameworks, • Data modeling for analytics and operational reporting, • Data quality, lineage, cataloging, and documentation, • Integration with ERP, CRM, project systems, contract repositories, and custom applications Successful candidates will bring: • Player-coach leadership style, • Strong technical credibility, • Comfort reviewing design details and guiding implementation, • A modernization mindset, • Strong architecture judgment, • A practical approach to governance and standards, • The ability to bridge engineering, analytics, and business needs In this role, success means: • A clear and executable enterprise data strategy is in place, • Data engineering and reporting teams are aligned under strong technical leadership, • Trusted, governed data pipelines and models support AI, BI, and decision-making, • The organization begins adopting modern data platform capabilities beyond traditional SQL-only patterns, • Data quality, lineage, and documentation improve materially, • Business users gain more confidence in reporting and analytics, • Data investments show measurable impact on speed, insight, governance, and scalability COMPENSATION: $220,000 - $250,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates. Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

Summary: The role of Machinist III involves expert-level responsibilities in adhering to all company HSEQ processes and procedures, reviewing and comprehending complex part drawings, and performing setup and operation of turning and milling equipment for critical tasks. Responsibilities include operating a 4-Jaw "Independent Chuck," band saw, and drill press, polishing various valve parts to manufacturer specifications, and roughing out in-house fabricated parts. The role also requires machining flanges to within ASME 16.50 specifications, drilling and tapping holes, and having knowledge of advanced measuring tools such as calipers, dial indicators, tape measures, and thread gauges. Additionally, there is an advanced learning component for various measuring instruments, including micrometers, last word indicators, PMI guns,, thread measurement devices, and veneers, along with mentoring junior machinists. Responsibilities: \n • All Additional Job Responsibilities of a Machinist I & II \n, • Support Machinist I & II employees through mentoring and/or on-the-job (OJT) training \n, • Perform final quality inspection on all machined components and equipment \n, • Determine machining requirements for complex projects \n, • Potentially assume role as Field Supervisor \n, • Assisting with machine shop consumables inventory \n, • Fabricate drawings from sample parts \n\n Positional Requirements & Qualifications: Education & Experience \n • HS Education or GED Equivalent a plus \n, • Machinist degree preferred \n, • Meets all Machinist I & II qualifications and requirements \n, • Proficient in Machinist I & II responsibilities \n, • Minimum of 3 years as a certified Machinist \n, • Experienced trainer of Level I & II Machinists \n, • Proficient in advanced machining techniques and standards \n, • Working knowledge and proficiency of machining metallurgy \n, • Knowledge and understanding of material selection \n, • Ability to read and understand technical drawings \n, • Understanding of shop math and machining costs \n, • Ability to organize and manage multiple tasks \n, • Basic OSHA and TWIC card (TWIC, only if required) \n, • Ability to manage people \n, • Excellent oral and written communication skills \n, • Demonstrated "can do" attitude and excellent customer service skills \n, • Must be able to travel and have a clear driving record in accordance with company driving guidelines \n, • Lifting: up to 50 pounds \n, • Adjusting or moving objects up to 50 pounds in all directions \n, • Lift and carry: 50 pounds for 100 feet \n, • Bending, stooping, walking and climbing stairs \n, • Able to pass periodic medical evaluations and respirator fit tests to ensure continued compliance with OSHA standards. \n, • Ascending or descending ladders, stairs, scaffolding, ramps \n, • Moving self in different positions to accomplish tasks in various environments including tight and confined spaces \n, • Remaining in a stationary position, often standing or sitting for prolonged periods \n, • Moving about to accomplish tasks or moving from one worksite to another \n, • Communicating with others to exchange information \n, • Repeating motions that may include the wrists, hands and/or fingers \n, • Operating machinery and/or power tools \n, • Operating motor vehicles or heavy equipment \n, • Assessing the accuracy, neatness, and thoroughness of the work assigned \n, • Required physical ability if mandated by customer or regulatory requirements \n\n This job description is intended to describe the general nature and level of the work being performed. This is not an exhaustive list of all duties and responsibilities. The company reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.

Job Description Job Descriptions - Human Resources Department Position: Teacher Department/Campus: Campus Reports to Principal FLSA Status: Exempt Pay Grade Teacher Pay Scale Job Type Full-Time Work Hours Normal Work hours (193 days) JOB ROLES: Provide students with appropriate learning activities and experiences in the subject area(s) assigned to help students fulfill their potential for intellectual, emotional, physical, and social growth. QUALIFICATIONS: • Bachelor’s degree from an accredited college or university., • Meet Texas “highly qualified” standards., • Texas Teacher Certificate appropriate for level and subject area of assignment (required for ESL/Bilingual, SPED, Pre-K, and preferred for other subjects). KNOWLEDGE AND SKILLS: • Knowledge of curriculum and instruction, • Ability to communicate effectively in both written and oral forms with all levels of management, both internal and external to the campus., • Ability to establish and maintain effective working relationships both internal and external to the district., • Ability to use computers including software, database used by the district, spreadsheet and word processing software, calculator, copy machine, and telephone., • Plan a program of study that, as much as possible, meets the individual needs, interests, and abilities of the students., • Create a classroom environment that is conducive to learning and appropriate to the maturity and interests of the students., • Prepare lessons that reflect accommodations for individual differences., • Prepare for classes assigned and show written evidence of preparation upon request of immediate supervisor., • Encourage students to set and maintain standards of classroom behavior., • Guide the learning process toward the achievement of curriculum goals and, in SST Schools with the goals, establish clear objectives for all lessons, units, projects, and the like to communicate these objectives to the students., • Employ a variety of instructional techniques and instructional media consistent with the physical limitations of the location provided, and the needs and capabilities of the individuals or student groups involved., • Strive to implement, by instruction and action, the district’s philosophy of education and instructional goals and objectives., • Assess the accomplishments of the students on a regular basis and provide progress reports as required., • Refer students for evaluation by district specialists as required., • Take necessary and reasonable precautions to protect the students, equipment, materials, and facilities., • Maintain accurate, complete, and correct records as required by law, district policy, and administrative regulations., • Assist the administration in implementing all policies and rules governing student life and conduct., • Develop reasonable rules of classroom behavior. Maintain order in the classroom in a fair and just manner., • Make provisions for being available to the students and to the parents for education-related purposes when required., • Plan and supervise purposeful assignments for teacher aide(s) and volunteer(s) and, cooperatively with department heads, evaluate their job performance., • Maintain and improve professional competence., • Participate in district and campus staff development., • Attend staff meetings and serve on staff committees., • Maintain a professional relationship with colleagues., • Establish and maintain open lines of communication with students, parents, and community members., • Prepare and submit lesson plans in a timely manner in the platform the school utilizes., • Maintain a minimum number of grades in the Gradebook in a timely manner., • Meet the mentor teacher regularly (if new teacher), • Perform other duties as assigned. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: • Light Work: may require occasional light lifting., • Nights and weekend activities will be occasionally required., • Position is in an office setting and may involve prolonged work at a desk in one location., • Moderate travel is required.

Job Description Job Descriptions - Human Resources Department Position: Teacher Department/Campus: Campus Reports to Principal FLSA Status: Exempt Pay Grade Teacher Pay Scale Job Type Full-Time Work Hours Normal Work hours (193 days) JOB ROLES: Provide students with appropriate learning activities and experiences in the subject area(s) assigned to help students fulfill their potential for intellectual, emotional, physical, and social growth. QUALIFICATIONS: • Bachelor’s degree from an accredited college or university., • Meet Texas “highly qualified” standards., • Texas Teacher Certificate appropriate for level and subject area of assignment (required for ESL/Bilingual, SPED, Pre-K, and preferred for other subjects). KNOWLEDGE AND SKILLS: • Knowledge of curriculum and instruction, • Ability to communicate effectively in both written and oral forms with all levels of management, both internal and external to the campus., • Ability to establish and maintain effective working relationships both internal and external to the district., • Ability to use computers including software, database used by the district, spreadsheet and word processing software, calculator, copy machine, and telephone., • Plan a program of study that, as much as possible, meets the individual needs, interests, and abilities of the students., • Create a classroom environment that is conducive to learning and appropriate to the maturity and interests of the students., • Prepare lessons that reflect accommodations for individual differences., • Prepare for classes assigned and show written evidence of preparation upon request of immediate supervisor., • Encourage students to set and maintain standards of classroom behavior., • Guide the learning process toward the achievement of curriculum goals and, in SST Schools with the goals, establish clear objectives for all lessons, units, projects, and the like to communicate these objectives to the students., • Employ a variety of instructional techniques and instructional media consistent with the physical limitations of the location provided, and the needs and capabilities of the individuals or student groups involved., • Strive to implement, by instruction and action, the district’s philosophy of education and instructional goals and objectives., • Assess the accomplishments of the students on a regular basis and provide progress reports as required., • Refer students for evaluation by district specialists as required., • Take necessary and reasonable precautions to protect the students, equipment, materials, and facilities., • Maintain accurate, complete, and correct records as required by law, district policy, and administrative regulations., • Assist the administration in implementing all policies and rules governing student life and conduct., • Develop reasonable rules of classroom behavior. Maintain order in the classroom in a fair and just manner., • Make provisions for being available to the students and to the parents for education-related purposes when required., • Plan and supervise purposeful assignments for teacher aide(s) and volunteer(s) and, cooperatively with department heads, evaluate their job performance., • Maintain and improve professional competence., • Participate in district and campus staff development., • Attend staff meetings and serve on staff committees., • Maintain a professional relationship with colleagues., • Establish and maintain open lines of communication with students, parents, and community members., • Prepare and submit lesson plans in a timely manner in the platform the school utilizes., • Maintain a minimum number of grades in the Gradebook in a timely manner., • Meet the mentor teacher regularly (if new teacher), • Perform other duties as assigned. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: • Light Work: may require occasional light lifting., • Nights and weekend activities will be occasionally required., • Position is in an office setting and may involve prolonged work at a desk in one location., • Moderate travel is required.

Job DescriptionService Wire Company, a premier supplier of industrial and utility wire and cable, is currently seeking a Maintenance Supervisor in Houston, TX. If you are looking to join a great organization and a chance to become a part of our growing team, this may be the opportunity for you! Position Summary: The Maintenance Supervisor leads maintenance mechanics and electricians to ensure safe, reliable, and efficient operation of plant equipment and facilities. This role oversees preventive and corrective maintenance, partners with Production to minimize downtime, and ensures compliance with OSHA standards. Responsibilities include scheduling maintenance activities, improving equipment reliability, developing standard procedures, tracking performance metrics, training employees, and supporting continuous improvement and capital projects. Tasks/Duties/Responsibilities: • Leads a team of Maintenance Mechanics & Electricians in predictive & preventative maintenance and machine repair., • Ensure tasks are completed in accordance with OSHA standards and regulations., • Update spare parts file for part numbers creation based on needs and equipment reliability., • Ensures maintenance is scheduled in a timely manner and works closely with Production to schedule and accomplish equipment and facility repairs., • Develop and/or maintain Key Performance Indicators for tracking and reporting the performance of the maintenance function (downtime tracking, work order creation and coordination, repetitive maintenance requests, maintenance responsiveness)., • Provides long-term solutions and day-to-day support to all operating teams having issues with troubleshooting, problem analysis, equipment failures, etc., • Trains employees in proper work methods and safety procedures., • Utilize learned experiences to spread knowledge across shifts, ensuring all maintenance department learns on how to solve and address specific issues on each equipment., • Develop SOP to standardize troubleshooting techniques., • Maintains accurate records of maintenance work performed and inventory., • Sends daily reports to operational team on PM and equipment status., • Modification of PM frequencies based on known/documented failure(s) history., • OEM best-practices and feedback from mechanics/inspections., • Facilitate mechanic and operator inspections., • Creation of nonscheduled work orders, maintain history of repairs and parts used., • Identify capital needs and solutions focused on operational improvements within the facility., • Submit purchase requests based on projects and equipment reliability., • Participate in securing project job bids process and providing recommendations.Knowledge/Skills/Requirements:, • High school diploma or equivalent and 3+ years of maintenance or process/project engineering experience required., • Bachelor’s Degree in Engineering and previous leadership experience preferred., • Strong sense of urgency and decision making, capability to adapt with good planning and priority setting skills., • Experience with process controls and extrusion., • Advanced troubleshooting techniques in mechanical and electrical fields (e.g. PLCs, instrumentation, gearboxes, extruders, dryers, mixers, vacuums, pumps, etc.), • Thorough knowledge of maintenance systems, work order processes, preventive/predictive maintenance, TPM, inventory and scheduling software preferred., • Strong leadership skills (conflict resolution, facilitation, change management skills, decision making, empowerment and delegation) preferred., • Strong written and verbal communication skills., • Proficient with MS Word, Excel, and Outlook.Reports To:, • Plant Maintenance EngineerThe perks of joining our Team, • Comprehensive Insurance Options - Competitive medical coverage with a variety of plan choices., • Progressive PTO & Paid Holidays - Tenure-based paid time off plus eight paid holidays annually, • 401(k) with Company Match + Profit Sharing - Matching 5% on 6% of employee contributions and annual profit‑sharing contributions., • Career Growth & Learning Support - Tuition reimbursement and employee assistance programs., • Referral Bonus Program - Employee referral bonuses paid out over the new hire's first year., • See all benefits we offer here

Job DescriptionWith over 18 years of experience, Hays Electrical Services is a nationally recognized electrical contractor delivering high-quality, safe, and reliable electrical solutions across commercial, industrial, and specialty markets. Licensed in multiple states and trusted by leading general contractors, Hays is built on a foundation of safety, excellence, drive, communication, and client focus. Our mission is simple: to make ourselves indispensable to our customers. We achieve this by investing in our people, continuously improving our processes, and delivering results that set the standard in the electrical contracting industry. Role Summary We are seeking an experienced IT Infrastructure Engineer to execute and implement infrastructure and platform designs created by our IT Architect. This role is responsible for building, configuring, and operating infrastructure systems across on-premises and cloud environments. The IT Infrastructure Engineer translates approved architecture into reliable, working systems and adapts designs to real world constraints during implementation. The engineer is expected to be comfortable owning execution, troubleshooting complex issues, and rapidly learning new technologies when required. This is a senior, hands-on builder role focused on delivery and system performance. Key Responsibilities • Implement and manage network infrastructure (Layers 1–3) across multiple sites, including switching, routing, segmentation, and cross-site connectivity, • Ensure security, consistency, and scalability in all infrastructure implementations, • Contribute to automation, standardization, and continuous improvement of infrastructure practices, • Provide execution feedback to architecture teams to improve designs, standards, and future implementation efficiency Qualifications & Skills • 5+ years of hands-on infrastructure engineering experience, • Solid understanding of networking fundamentals (Layer 1–3), • Proven ability to troubleshoot complex infrastructure issues, • Comfortable translating designs into production-ready implementations, • Experience working in environments with dedicated architects, • Exposure to infrastructure automation or configuration management tools, • Experience in growing or changing technology environments, • Familiarity with security controls and infrastructure hardening practices Work Environment & Physical Requirements Sedentary: While performing the duties of this job, the employee is regularly required remain a stationary position over 75% of the time, constantly operates a computer and other office productivity machinery which can include a copy machine or printer, frequently communicates with internal and external contacts, and must be able to exchange accurate information. The employee is occasionally required to move about inside the office to access file cabinets, office machinery, and handle up to 20 pounds (files or office supplies). Must be able to detect, determine, distinguish, inspect, assess, and adjust focus. Why Join Hays Electrical Services? At Hays Electrical Services, you’re joining a team that values professionalism, accountability, and growth. As part of our Marketing and Communications team, you’ll play a hands-on role in capturing and sharing the work, people, and culture that power our continued success. Benefits Include: • Competitive salary based on experience, • Comprehensive health, dental, and vision insurance, • Generous paid time off and company holidays Hays Electrical Services, Inc., is an Equal Opportunity Employer and does not discriminate based on any status protected by applicable law. This job description is not intended to be all-inclusive. Duties, responsibilities, and activities may change at any time with or without notice. Powered by JazzHR icA7MPKRTs

Job Description Overview Group 1 Automotive, Inc., an international, Fortune 250 automotive retailer and a leading operator in the automotive retailing industry, is seeking an experienced and dynamic EHS Systems, Data & Technology Manager to join our team! Group 1 Automotive owns and operates automotive dealerships and collision centers in the United States and United Kingdom. We offer our associates a team environment, great benefits and ongoing training and support. If you are in alignment with our values of integrity, transparency, professionalism, teamwork, and respect - now might be the time for you to accelerate your career as part of the best company in automotive retail. Group 1 seeks to hire an EHS Systems and Data Manager. The position reports to the Director, EHS. Position Overview We are seeking a highly skilled and technically strong EHS Systems & Data Manager to support and advance our Environmental, Health & Safety (EHS) programs through data, technology, and system integration. This role will manage all EHS systems, responsible for managing safety data across multiple platforms, developing reporting and analytics solutions, and optimizing our EHS software and digital tools. This individual will bridge the gap between safety operations and technology, ensuring data is accurate, actionable, and effectively supports decision-making across the organization. This role is critical in transforming Environmental, Health and Safety from a reactive function into a data-driven, technology-enabled capability, ensuring that systems, integrations, and analytics provide real-time visibility and actionable insights across the organization. Responsibilities EHS Systems Management • Act as the owner and primary administrator and technical owner of the company’s EHS software platform. Configure, maintain, and continuously improve system functionality., • Manage user access, workflows, forms, and system updates, • Oversee system performance and drive resolution of critical issues through internal teams and vendors. Data Integration & Analytics • Manage the enterprise strategy for EHS data architecture, including collection, standardization, and governance., • Own and oversee enterprise reporting and analytics strategy (e.g., Power BI, Excel, or similar tools)., • Translate complex data into actionable insights for leadership and field teams., • Ensure data integrity, consistency, and accuracy across platforms. AI & Advanced Analytics • Identify and implement opportunities to leverage AI and machine learning to enhance EHS performance and risk prediction., • Develop or support predictive models for incident prevention, risk scoring, and trend forecasting., • Explore use of AI tools (e.g., Copilot, Azure AI, or similar) to automate data analysis, reporting, and workflows., • Partner with IT and data teams to integrate AI capabilities into existing EHS systems and data pipelines., • Evaluate emerging technologies (e.g., computer vision, NLP) for safety applications such as incident analysis and hazard identification. Technical Leadership for EHS • Serve as the functional leader for EHS systems and data capabilities across the enterprise, • Identify opportunities to automate processes and improve data collection and reporting., • Lead or support implementation of new EHS technologies and system enhancements., • Manage relationships with EHS software vendors and technology partners SharePoint & Collaboration Tools • Design, build, and maintain SharePoint sites for EHS documentation, communication, and collaboration., • Organize and manage digital content to improve accessibility and usability., • Support integration between SharePoint and other business systems. Process Improvement & Standardization • Develop standardized processes for data capture, reporting, and analysis., • Support audits, compliance reporting, and regulatory requirements., • Lead collaboration across EHS, IT, HR, Risk, and Operations to align systems and data strategy. Qualifications Required • Bachelor’s degree in business Analytics, Information Systems, Data Analytics, or related field., • 5–7+ years of experience in EHS systems, data analytics, or related technical role, • Proficiency with Microsoft 365 tools, especially SharePoint, advanced Excell skills, • Strong analytical and executive‑level communication skills., • Experience administering or supporting EHS software platforms (e.g., Intelex, Enablon, Cority, Benchmark Gensuite or similar)., • Experience working with multiple data sources and systems integration., • Understanding of EHS regulations and safety programs. Preferred • Familiarity with Safety regulatory compliance OSHA, EPA, OSHA 300 logs or audit processes a plus., • Experience using AI copilots or automation tools to enhance business processes., • Knowledge of Automotive Retail industry. Key Competencies • Strong systems thinking and architecture mindset., • Ability to translate technical data into business insights., • Excellent communication and collaboration skills with both technical and non-technical stakeholders., • Continuous improvement mindset Work Environment • Office and/or hybrid environment with collaboration across corporate and field teams Group 1 Automotive is an Equal Employment Opportunity employer and participates in E-Verify

Job DescriptionGridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean power by optimizing renewable energy and grid-scale batteries. With offices in the Bay Area and Houston, we bring together Silicon Valley–style innovation with deep, hands-on expertise in real-world power markets and energy retail.As solar and wind become the fastest-growing sources of electricity, variability from weather and grid conditions makes energy prices more volatile. Gridmatic tackles this challenge with industry-leading forecasting and optimization—and gives our team the opportunity to work on problems that truly matter. Forecasting and trading energy are the foundation of what we do. We ingest large-scale data—weather, prices, load, and grid conditions—to build probabilistic machine learning forecasts that drive real operational decisions. Our work directly determines when power is bought, stored, or deployed, turning uncertainty into value for customers and the grid.Our impact is measurable. Gridmatic is the most profitable participant in ERCOT’s wholesale market and operates the top-performing battery asset in CAISO. Profitable without venture capital, we offer a collaborative, low-ego environment where rigorous thinking, autonomy, and continuous learning are core to how we work. We’ve grown our energy sales by roughly 100x in the last 18 months, and we want to 10x again to become a gigawatt-scale energy retailer, which would be a huge step toward becoming one of the leading renewable energy companies. This will require building automation and tooling to make it exceptionally easy to sign increasingly large industrial energy customers (think datacenters, flexible loads, and other businesses). There’s a ton of complexity in the pricing, usage forecasting, and contracting of these customers, and we’re building a platform to automate this entire process. Incumbent energy companies need hundreds of salespeople; we want to see how much we can grow with fewer than ten. We’re hiring for exceptional product engineers who can help build out this vision. We look for people who can ship and iterate quickly, and who are also adept at working with stakeholders to figure out what to build.What you might work on: • Deep automation of our pricing, forecasting, and contracting platform. Examples include: using AI to fully automate pricing from unstructured emails, scaling the processing of large-scale timeseries usage data, and representing increasingly complex customer contracts., • Rapid expansion into new markets. New markets expand our sales opportunity but requires handling new utilities, new datasets, and new pricing rules and algorithms.You are a good fit if you:, • Excel at building product end-to-end, from spec and data modeling to backend to frontend and product design. We work in an environment where every engineer has a huge amount of leverage and impact., • Are an expert at learning and gathering requirements from stakeholders. We’re building new tools and products in the energy domain, and this requires very effectively with people who have energy experience., • Are very comfortable working with complex, large-scale data. Energy data is often messy, so there’s a ton of value in being able to design good schemas, write queries, and make sense of the data., • Have strong Python backend skills - being able to debug production issues, set up alerting and observability, scale large parallel workloads, and do performance profiling.

Job Description Job Descriptions - Human Resources Department Position: Teacher Department/Campus: Campus Reports to Principal FLSA Status: Exempt Pay Grade Teacher Pay Scale Job Type Full-Time Work Hours Normal Work hours (193 days) JOB ROLES: Provide students with appropriate learning activities and experiences in the subject area(s) assigned to help students fulfill their potential for intellectual, emotional, physical, and social growth. QUALIFICATIONS: • Bachelor’s degree from an accredited college or university., • Meet Texas “highly qualified” standards., • Texas Teacher Certificate appropriate for level and subject area of assignment (required for ESL/Bilingual, SPED, Pre-K, and preferred for other subjects). KNOWLEDGE AND SKILLS: • Knowledge of curriculum and instruction, • Ability to communicate effectively in both written and oral forms with all levels of management, both internal and external to the campus., • Ability to establish and maintain effective working relationships both internal and external to the district., • Ability to use computers including software, database used by the district, spreadsheet and word processing software, calculator, copy machine, and telephone., • Plan a program of study that, as much as possible, meets the individual needs, interests, and abilities of the students., • Create a classroom environment that is conducive to learning and appropriate to the maturity and interests of the students., • Prepare lessons that reflect accommodations for individual differences., • Prepare for classes assigned and show written evidence of preparation upon request of immediate supervisor., • Encourage students to set and maintain standards of classroom behavior., • Guide the learning process toward the achievement of curriculum goals and, in SST Schools with the goals, establish clear objectives for all lessons, units, projects, and the like to communicate these objectives to the students., • Employ a variety of instructional techniques and instructional media consistent with the physical limitations of the location provided, and the needs and capabilities of the individuals or student groups involved., • Strive to implement, by instruction and action, the district’s philosophy of education and instructional goals and objectives., • Assess the accomplishments of the students on a regular basis and provide progress reports as required., • Refer students for evaluation by district specialists as required., • Take necessary and reasonable precautions to protect the students, equipment, materials, and facilities., • Maintain accurate, complete, and correct records as required by law, district policy, and administrative regulations., • Assist the administration in implementing all policies and rules governing student life and conduct., • Develop reasonable rules of classroom behavior. Maintain order in the classroom in a fair and just manner., • Make provisions for being available to the students and to the parents for education-related purposes when required., • Plan and supervise purposeful assignments for teacher aide(s) and volunteer(s) and, cooperatively with department heads, evaluate their job performance., • Maintain and improve professional competence., • Participate in district and campus staff development., • Attend staff meetings and serve on staff committees., • Maintain a professional relationship with colleagues., • Establish and maintain open lines of communication with students, parents, and community members., • Prepare and submit lesson plans in a timely manner in the platform the school utilizes., • Maintain a minimum number of grades in the Gradebook in a timely manner., • Meet the mentor teacher regularly (if new teacher), • Perform other duties as assigned. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: • Light Work: may require occasional light lifting., • Nights and weekend activities will be occasionally required., • Position is in an office setting and may involve prolonged work at a desk in one location., • Moderate travel is required.

Job Description Job Descriptions - Human Resources Department Position: Teacher Department/Campus: Campus Reports to Principal FLSA Status: Exempt Pay Grade Teacher Pay Scale Job Type Full-Time Work Hours Normal Work hours (193 days) JOB ROLES: Provide students with appropriate learning activities and experiences in the subject area(s) assigned to help students fulfill their potential for intellectual, emotional, physical, and social growth. QUALIFICATIONS: • Bachelor’s degree from an accredited college or university., • Meet Texas “highly qualified” standards. KNOWLEDGE AND SKILLS: • Knowledge of curriculum and instruction, • Ability to communicate effectively in both written and oral forms with all levels of management, both internal and external to the campus., • Ability to establish and maintain effective working relationships both internal and external to the district., • Ability to use computers including software, database used by the district, spreadsheet and word processing software, calculator, copy machine, and telephone., • Ability to use effective interview techniques, effective public speaking skills, and problem-solving skills KEY RESPONSIBILITIES: • Plan a program of study that, as much as possible, meets the individual needs, interests, and abilities of the students., • Create a classroom environment that is conducive to learning and appropriate to the maturity and interests of the students., • Prepare lessons that reflect accommodations for individual differences., • Prepare for classes assigned and show written evidence of preparation upon request of immediate supervisor., • Encourage students to set and maintain standards of classroom behavior., • Guide the learning process toward the achievement of curriculum goals and, in SST Schools with the goals, establish clear objectives for all lessons, units, projects, and the like to communicate these objectives to the students., • Employ a variety of instructional techniques and instructional media consistent with the physical limitations of the location provided, and the needs and capabilities of the individuals or student groups involved., • Strive to implement, by instruction and action, the district’s philosophy of education and instructional goals and objectives., • Assess the accomplishments of the students on a regular basis and provide progress reports as required., • Refer students for evaluation by district specialists as required., • Take necessary and reasonable precautions to protect the students, equipment, materials, and facilities., • Maintain accurate, complete, and correct records as required by law, district policy, and administrative regulations., • Assist the administration in implementing all policies and rules governing student life and conduct., • Develop reasonable rules of classroom behavior. Maintain order in the classroom in a fair and just manner., • Make provisions for being available to the students and to the parents for education-related purposes when required., • Plan and supervise purposeful assignments for teacher aide(s) and volunteer(s) and, cooperatively with department heads, evaluate their job performance., • Maintain and improve professional competence., • Participate in district and campus staff development., • Attend staff meetings and serve on staff committees., • Maintain a professional relationship with colleagues., • Establish and maintain open lines of communication with students, parents, and community members., • Prepare and submit lesson plans in a timely manner in the platform the school utilizes., • Maintain a minimum number of grades in the Gradebook in a timely manner., • Meet the mentor teacher regularly (if new teacher), • Perform other duties as assigned. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: • Light Work: may require occasional light lifting., • Position is in an office setting and may involve prolonged work at a desk in one location.

Job Description Job Descriptions - Human Resources Department Position: Teacher Department/Campus: Campus Reports to Principal FLSA Status: Exempt Pay Grade Teacher Pay Scale Job Type Full-Time Work Hours Normal Work hours (193 days) JOB ROLES: Provide students with appropriate learning activities and experiences in the subject area(s) assigned to help students fulfill their potential for intellectual, emotional, physical, and social growth. QUALIFICATIONS: • Bachelor’s degree from an accredited college or university., • Meet Texas “highly qualified” standards. KNOWLEDGE AND SKILLS: • Knowledge of curriculum and instruction, • Ability to communicate effectively in both written and oral forms with all levels of management, both internal and external to the campus., • Ability to establish and maintain effective working relationships both internal and external to the district., • Ability to use computers including software, database used by the district, spreadsheet and word processing software, calculator, copy machine, and telephone., • Plan a program of study that, as much as possible, meets the individual needs, interests, and abilities of the students., • Create a classroom environment that is conducive to learning and appropriate to the maturity and interests of the students., • Prepare lessons that reflect accommodations for individual differences., • Prepare for classes assigned and show written evidence of preparation upon request of immediate supervisor., • Encourage students to set and maintain standards of classroom behavior., • Guide the learning process toward the achievement of curriculum goals and, in SST Schools with the goals, establish clear objectives for all lessons, units, projects, and the like to communicate these objectives to the students., • Employ a variety of instructional techniques and instructional media consistent with the physical limitations of the location provided, and the needs and capabilities of the individuals or student groups involved., • Strive to implement, by instruction and action, the district’s philosophy of education and instructional goals and objectives., • Assess the accomplishments of the students on a regular basis and provide progress reports as required., • Refer students for evaluation by district specialists as required., • Take necessary and reasonable precautions to protect the students, equipment, materials, and facilities., • Maintain accurate, complete, and correct records as required by law, district policy, and administrative regulations., • Assist the administration in implementing all policies and rules governing student life and conduct., • Develop reasonable rules of classroom behavior. Maintain order in the classroom in a fair and just manner., • Make provisions for being available to the students and to the parents for education-related purposes when required., • Plan and supervise purposeful assignments for teacher aide(s) and volunteer(s) and, cooperatively with department heads, evaluate their job performance., • Maintain and improve professional competence., • Participate in district and campus staff development., • Attend staff meetings and serve on staff committees., • Maintain a professional relationship with colleagues., • Establish and maintain open lines of communication with students, parents, and community members., • Prepare and submit lesson plans in a timely manner in the platform the school utilizes., • Maintain a minimum number of grades in the Gradebook in a timely manner., • Meet the mentor teacher regularly (if new teacher), • Perform other duties as assigned. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: • Light Work: may require occasional light lifting., • Position is in an office setting and may involve prolonged work at a desk in one location., • Moderate travel is required.

Job Description Job Descriptions - Human Resources Department Position: Teacher Department/Campus: Campus Reports to Principal FLSA Status: Exempt Pay Grade Teacher Pay Scale Job Type Full-Time Work Hours Normal Work hours (193 days) JOB ROLES: Provide students with appropriate learning activities and experiences in the subject area(s) assigned to help students fulfill their potential for intellectual, emotional, physical, and social growth. QUALIFICATIONS: • Bachelor’s degree from an accredited college or university., • Meet Texas “highly qualified” standards., • Texas Teacher Certificate appropriate for level and subject area of assignment (required for ESL/Bilingual, SPED, Pre-K, and preferred for other subjects). KNOWLEDGE AND SKILLS: • Knowledge of curriculum and instruction, • Ability to communicate effectively in both written and oral forms with all levels of management, both internal and external to the campus., • Ability to establish and maintain effective working relationships both internal and external to the district., • Ability to use computers including software, database used by the district, spreadsheet and word processing software, calculator, copy machine, and telephone., • Plan a program of study that, as much as possible, meets the individual needs, interests, and abilities of the students., • Create a classroom environment that is conducive to learning and appropriate to the maturity and interests of the students., • Prepare lessons that reflect accommodations for individual differences., • Prepare for classes assigned and show written evidence of preparation upon request of immediate supervisor., • Encourage students to set and maintain standards of classroom behavior., • Guide the learning process toward the achievement of curriculum goals and, in SST Schools with the goals, establish clear objectives for all lessons, units, projects, and the like to communicate these objectives to the students., • Employ a variety of instructional techniques and instructional media consistent with the physical limitations of the location provided, and the needs and capabilities of the individuals or student groups involved., • Strive to implement, by instruction and action, the district’s philosophy of education and instructional goals and objectives., • Assess the accomplishments of the students on a regular basis and provide progress reports as required., • Refer students for evaluation by district specialists as required., • Take necessary and reasonable precautions to protect the students, equipment, materials, and facilities., • Maintain accurate, complete, and correct records as required by law, district policy, and administrative regulations., • Assist the administration in implementing all policies and rules governing student life and conduct., • Develop reasonable rules of classroom behavior. Maintain order in the classroom in a fair and just manner., • Make provisions for being available to the students and to the parents for education-related purposes when required., • Plan and supervise purposeful assignments for teacher aide(s) and volunteer(s) and, cooperatively with department heads, evaluate their job performance., • Maintain and improve professional competence., • Participate in district and campus staff development., • Attend staff meetings and serve on staff committees., • Maintain a professional relationship with colleagues., • Establish and maintain open lines of communication with students, parents, and community members., • Prepare and submit lesson plans in a timely manner in the platform the school utilizes., • Maintain a minimum number of grades in the Gradebook in a timely manner., • Meet the mentor teacher regularly (if new teacher), • Perform other duties as assigned. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: • Light Work: may require occasional light lifting., • Nights and weekend activities will be occasionally required., • Position is in an office setting and may involve prolonged work at a desk in one location., • Moderate travel is required.

Job DescriptionBenefits: • 401(k), • Company parties, • Competitive salary, • Free uniforms, • Opportunity for advancement Are you hardworking, reliable, and ready to learn a skilled trade? Were looking for motivated team members to join our growing gutter installation crews. We provide hands-on training, clear advancement steps, and competitive pay as you move up. General Requirements • Minimum 1 years of gutter installation experience., • Reliable and punctual; must arrive on time and ready for work each day., • Physically able to lift 75 lbs, climb ladders, and work at heights for extended periods., • Valid drivers license preferred., • Positive attitude, ability to take direction, and eagerness to learn advanced techniques. Technical Skills • Familiar with gutter components, hangers, downspouts, and sealants., • Safely use basic hand tools and power tools., • Assist with material handling, site setup, and debris cleanup., • Measure and cut materials accurately under supervision., • Maintain clean and organized vehicles, tools, and workspaces. Leadership & Development • Demonstrate eagerness to progress to Installer Assistant II within 612 months., • Accept coaching and feedback with professionalism., • Begin learning gutter machine operation and miter-cut techniques. Administrative • Follow company policies for timekeeping., • Assist with tool/vehicle checklists and material tracking. Conduct & Professionalism • Represent company values on every job site., • Communicate courteously with clients and coworkers., • Always follow company safety and quality standards.

Job Description What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As an Enterprise Architect at Cognite, you will play a pivotal role in the Expert Services Offerings department within our Value Delivery organisation. In this customer-facing position, you will work directly with key customers, field sales, delivery teams, and product development. You will use your seniority and technical competencies to help lead our industrial customers to increase productivity, profitability, reduce environmental impact and reduce costs. Our customers are large international process and energy industries, with challenges in asset performance and maintenance, production efficiency, and sustainability. Together with the team, you will define solutions and support each integration through to a successful finish Through our services offerings, customers can get access to technical expertise, advisory, and hands-on assistance in developing and implementing solutions on top of Cognite Data Fusion. As an Enterprise Architect, you will help deliver on objectives and outcomes across Success Track contracts, expert services engagements, and strategic delivery programs, particularly where solutions are complex, non-standard, or require deep technical leadership. On a day to day basis, this means you will typically work on topics and deliverables such as: • End-to-end architecture and solution design leadership., • Providing strategic and technical expertise to support customers and the customer-facing project teams., • Defining enterprise and solution architecture, including integration and data models and data ingestion pipelines, as well as user-facing solutions, • Expressing complex technical solutions through architecture modeling tools, • Ensure operational responsibility and support agreements for the delivered solutions, • Building strong relationships with key stakeholders, C-level executives, and IT and Business Data Managers to drive long-term adoption of Cognite's products and services, • Training internal teams and partners in your area of specialization, • Collaborating with Sales, Engineering, and Product Management teams to translate customer needs into product offerings, • Independently work with managing integration, data modeling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, Rest APIs and Cloud platform providers like Azure, AWS & Google, • Collaborate with our Sales, Engineering and Product Management teams to turn customer needs into a prioritised pipeline of product offerings, • Develop and maintain technical and business expertise for Cognite's productsThis role is a hybrid role based out of our office in Houston. The Impact you bring to CogniteWhat You'll Do, • We expect all our enterprise architects to be hands-on in python as well as a good hands-on expertise with software development best practices., • Open to travel., • You must be highly organised, thorough, and communicate well with all stakeholders., • Take ownership and drive tasks independently, • You will be required to collaborate, lead, and coach, as well as work independently. Required Qualifications • 8+ years of experience working as a Software Engineer/Data Engineer/Machine Learning Engineer, • Technical background, willing and able to dive in and contribute code for advanced topics when needed Preferred Experience • Experience from domains like Manufacturing, Energy, O&G, Pharma, Life sciences is preferred Learn more about us • Impact 2025, • Cognite's Industrial AI: Moonshot, • We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.Equal OpportunityCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

Job Description Empower Your Future: At MetOx International, we're pioneering the next era of energy security and abundance through breakthrough superconducting technology. As the Staff MOCVD Scientist, you'll join a dynamic team committed to strengthening the world's energy systems to make them more resilient, efficient, and reliable. Based at our global headquarters in Houston, TX, the Staff MOCVD Scientist is a subject matter expert in thin-film deposition and reaction chemistry, responsible for advancing YBCO process development using metal-organic chemical vapor deposition (MOCVD). This role drives innovation in high-temperature superconducting (HTS) film growth through deep understanding of precursor chemistry, gas-phase reactions, surface kinetics, and reactor transport phenomena. This scientist leads complex scientific investigations that advance MetOx's MOCVD deposition capabilities, develops advanced diagnostics and modeling approaches, and applies statistical and machine learning techniques to improve film quality, throughput, and reproducibility. The Staff MOCVD Scientist partners closely with materials scientists, equipment engineers, and process teams to translate scientific insight into scalable manufacturing processes supporting HTS production platforms. Key Responsibilities • Research Execution & Innovation, • Designs and executes scientific investigations to develop and optimize MOCVD processes for YBCO thin-film deposition using high molecular weight solid precursors., • Establishes precursor decomposition pathways and reaction mechanisms governing film growth., • Investigates gas-phase chemistry, surface adsorption and desorption kinetics, and transport phenomena that influence deposition behavior., • Defines and refines process windows that maximize film quality, uniformity, reproducibility, and throughput., • Implements and interprets in-situ and ex-situ diagnostics to understand deposition chemistry and process behavior., • Correlates diagnostic results with film growth outcomes and deposition performance., • Applies design-of-experiments (DOE) methodologies to evaluate process parameters and drive continuous improvement., • Develops predictive models describing deposition behavior and process sensitivity., • Strategy & Planning, • Contributes to R&D roadmaps advancing HTS deposition capabilities and scaling MOCVD processes for manufacturing platforms., • Evaluates new precursor systems, reactor configurations, and deposition approaches to improve film performance and process capability., • Analyzes how reactor architecture and subsystem design influence film growth mechanisms and process stability., • Collaborates with equipment engineering teams to improve precursor delivery systems, reactor design, and process control strategies., • Applies statistical analysis, data science, and machine learning techniques to optimize process parameters, predict defects, and detect process drift., • Utilizes kinetic modeling, computational chemistry, or first-principles modeling to deepen understanding of reaction mechanisms and deposition physics., • Mentorship & Collaboration, • Mentors engineers and scientists involved in thin-film deposition and superconducting materials development., • Leads cross-functional scientific investigations involving materials science, process engineering, and equipment development teams., • Partners with characterization teams to correlate film properties with deposition parameters and reaction mechanisms., • Participates in internal technical reviews and cross-functional knowledge sharing., • Documents experimental findings and develops internal frameworks that capture key process insights and scientific learnings. Minimum Qualifications: • Master's degree in Materials Science, Chemical Engineering, Chemistry, Applied Physics or related field., • 4 years of relevant experience including extensive experience in MOCVD or related vapor deposition processes. An advanced degree may be substituted for required experience on a year-for-year basis, depending on relevance and level., • Demonstrated experience in thin film growth mechanisms, reaction chemistry precursor decomposition. Preferred Qualifications: • PhD degree in Chemistry, Materials Science, Physics, or related field., • Recognized expertise in field of study; contributes to external collaborations., • Direct experience with YBCO or complex oxide superconducting films, including pinning centers., • Experience with high-molecular-weight solid precursors., • Familiarity with in-situ diagnostic techniques., • Experience developing or modifying MOCVD reactor hardware., • Experience with kinetic modeling, computational chemistry, reaction pathway modeling., • Experience using machine learning for process development., • Programming experience (JMP, Python, MATLAB, or similar). Knowledge, Skills, & Abilities: • Strong understanding of gas-phase kinetics, surface chemistry, reactor transport phenomena, • Hands-on experience with thin-film characterization techniques, • Strong experimental design and statistical analysis capability, • Strong scientific judgment and innovation mindset., • Capable of cross-functional technical influence., • Trusted mentor and communicator. Physical Demands: This position requires sitting at a desk and viewing a computer screen for extended periods while working or performing other office tasks. Ability to move around the office, including occasional standing, walking, and bending to retrieve documents, attend meetings, or use office equipment. Some light lifting may be required, up to 20 lbs. MetOx is proud to offer competitive benefits including: • Health, dental, and vision available on the first day of employment, • 401(k) match, • Paid parental leave & adoption assistance, • Educational reimbursement, • And more! We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Description FloWorks is a leading, privately held specialty industrial supplier of pipe, valves, fittings, and related products, as well as a provider of technical solutions to the energy and industrial sectors. Headquarters in Houston, Texas, Floworks is dedicated to delivering exceptional products, expertise, and service to its customers. Job Information: As the Senior Data Engineer you are responsible for building, managing, and optimizing cloud-based data solutions to support business processes and analytics across the organization. This role requires expertise in ETL development, data modeling, cloud technologies, and business intelligence to ensure data integrity, insightful analysis, and effective reporting. Key Responsibilities: Data Analytics: • Build and manage cloud ETL processes for data extraction, transformation, and loading from multiple sources into data lakes and data warehouses primarily within Microsoft Data Fabric., • Apply business rules, audit, and stage data to ensure data integrity and compliance., • Develop fact and dimension tables to support Power BI report development and other business intelligence needs., • Create visualizations and reports to meet business requirements and support decision-making., • Provide business analysis, problem-solving, and creativity to identify KPIs and metrics that drive business goals., • Ensure timely and accurate performance on assigned projects, maintaining compliance with project budgets and deadlines., • Proactively engage in projects, recognize and resolve problems, and implement solutions independently., • Collaborate with cross-functional teams to gather complete datasets and communicate findings company-wide., • Integrate data across systems using REST and SOAP APIs, including authentication (OAuth), API keys, pagination, rate limits, retries, and error handling., • Design and manage scalable data ingestion pipelines that pull data from SaaS platforms such as Salesforce, NetSuite, Workday, or ERP systems., • Build and maintain internal data APIs to support curated datasets for analysts and applications., • Translate API payloads (JSON, XML) into internal data models for loading into data lakes, warehouses, or MDM environments., • Support Master Data Management (MDM) processes by integrating and synchronizing core business entities across platforms, ensuring consistent, governed, and high‑quality master data throughout the ecosystem., • Implement middleware workflows using platforms such as Azure Logic Apps, Azure Data Factory, MuleSoft, Boomi, or Informatica Cloud., • Develop event‑driven integrations using messaging systems such as Azure Service Bus, Kafka, or RabbitMQ., • Build end‑to‑end orchestration workflows that call APIs, transform data, and deliver it to destination systems., • Apply integration patterns such as ETL/ELT, Change Data Capture (CDC), event streaming, batch vs. real‑time ingestion, and data synchronization., • Ensure secure API access (OAuth flows, token refresh logic) and apply governance practices for PII, auditability, and cross‑platform data flows., • Bachelor’s degree in technology, mathematics, statistics, accounting, finance, or a related quantitative discipline., • Over 5 years of experience in data analytics Microsoft Fabric (high grade)., • Prior in-depth hands-on experience with system integrations utilizing Boomi is required for this position., • Expert in SQL (a must-have skill)., • Highly experienced in cloud technologies, with a strong preference for Microsoft Fabric, DBT, and Azure. Experience with Databricks, Snowflake, and AWS may also be considered., • Proficient in Python programming and data modeling using the Kimball Method (Star Schema)., • Skilled in analytical and visualization tools, with a strong preference for Power BI. Experience with Tableau may also be considered., • Experience and passion for training data science and machine learning models., • Familiarity with Git and source control concepts., • Experience with Databricks, Airflow, Python, AI, AWS, and data integrations with ERPs or Salesforce is a plus., • Ability to work with Azure DevOps and cross-functional teams to define analytics use cases and translate them into technical solutions., • Frequently required to stand, • Frequently required to walk, • Continually required to sit, • Continually required to utilize hand and finger dexterity, • Occasionally balance, bend, stoop, kneel or crawl, • Continually required to talk or hear, • Continually utilize visual acuity to read technical information and/or use a keyboard, • Occasionally required to lift/push/carry items up to 25 pounds, • Occasionally work near moving mechanical parts, • Occasionally exposure to outside weather conditions This role operates in a professional office environment with flexibility for hybrid work. Standard office equipment such as computers, phones, and printers are used. Occasional visits to warehouses or operational sites may be required. The Perks of Working Here FloWorks offers a competitive benefits package designed to support your health, financial well-being, and work-life balance. Highlights include: • Medical, Dental & Vision Insurance with multiple plan options, • Company-paid Life and Disability Insurance, • 401(k) with company match, • Health Savings & Flexible Spending Accounts, • Supplemental coverage (Accident, Critical Illness, Hospital Indemnity), • Employee Assistance Program (includes 3 free counseling sessions), • Identity Theft Protection at discounted rates This information indicates the general nature and level of work performed by associates in this role. It is not designed to contain a comprehensive inventory of all duties, responsibilities, and qualifications required of associates assigned to this role. This description supersedes any previous or undated descriptions for this role. Management retains the right to add or change the duties of the position at any time. Questions about the duties and responsibilities of this position should be directed to the reporting Manager or Human Resources. FloWorks is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or protected veteran status. Committed to fostering a culture where every individual is valued and empowered to contribute to shared success. FloWorks participates in the US Government’s E-Verify program.

Job Description POSITION SUMMARY: The Senior Platform & Infrastructure Engineer is the principal technical contributor within the NXHS Corporate IT Platform & Operations team. This is a dual-mission role: the primary focus is designing, building, and operationalizing AI and agentic automation solutions that transform clinical and business operations across all Nexus Health Systems facilities. The secondary focus is enterprise infrastructure engineering, ensuring the compute, networking, identity, and cloud platforms that underpin these AI systems, and all hospital IT operations are reliable, secure, and HIPAA-compliant. NXHS currently operates an NVIDIA stack for on-premises agentic AI, but the organization maintains platform flexibility and may pivot to or incorporate Azure AI Foundry, AWS agentic services, or other emerging platforms as the landscape evolves. The right candidate is not married to a single stack, they are fluent across cloud and on-premises AI platforms and can adapt as strategic direction shifts. This role works directly alongside the Senior Manager, Platform & Operations on R&D initiatives, including multi-agent AI architectures, LLM orchestration, RPA with agentic bolt-ons, and enterprise integration development. The role also collaborates closely with the Senior Data Engineer on data layer architecture, ensuring AI agents can safely and efficiently query, interpret, and act on data within the SQL Data Warehouse. The ideal candidate is equally comfortable architecting an agent swarm with persistent memory over a SQL data warehouse as they are managing Azure hybrid infrastructure and enterprise networking for a multi-site healthcare system. JOB SPECIFIC RESPONSIBILITIES: AI Platform Engineering & Agentic Automation (Primary) • Design, build, and operationalize multi-agent AI systems on the current NVIDIA stack, while maintaining the ability to architect equivalent solutions on Azure AI Foundry, AWS agentic services, or other platforms as the organization’s strategic direction evolves. Agent orchestration, swarm architectures, task decomposition, and inter-agent communication patterns for clinical and operational use cases., • Architect and implement memory permanence and learning-over-time capabilities for AI agents, including vector store design, RAG (Retrieval-Augmented Generation) pipelines, embedding strategies, and state management across agent sessions., • Build integration layers between AI services and enterprise platforms, including Microsoft 365 (Graph API, core services), SQL Data Warehouse, and clinical systems, enabling agents to consume and act on organizational data., • Develop and deploy LLM-powered solutions using orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent), including prompt engineering at a systems level, tool/function calling architectures, and chain-of-thought workflows., • Design and implement RPA (Robotic Process Automation) workflows with agentic AI bolt-ons, automating clinical and administrative processes that currently require manual intervention., • Spin up, configure, and manage AI model deployments across multiple platforms — on-premises GPU infrastructure (NVIDIA), Azure AI Foundry, and AWS agentic/AI services, including model selection, fine-tuning, and performance optimization. The organization actively evaluates and pivots between platforms; vendor lock-in is not acceptable., • Build REST APIs, webhooks, middleware, and connector services that bridge AI/agent outputs to front-end applications, enabling end users to interact with intelligent systems through web-based interfaces and internal platforms., • Partner closely with the Senior Data Engineer on all data layer work, including enabling AI agent access to the SQL Data Warehouse, designing query patterns for autonomous retrieval, building ETL-to-agent handoff points, co-developing data schemas that support both BI reporting and agentic consumption, and establishing guardrails for autonomous data operations in a HIPAA-governed environment. This is a daily working relationship, not a periodic handoff., • Conduct hands-on R&D on emerging AI platforms, tools, and architectures with limited vendor documentation or community support. Ability to pioneer in ambiguous technical territory is essential. Enterprise Infrastructure Engineering (Secondary) • Design, engineer, and operate enterprise infrastructure platforms across on-premises and hybrid environments, including compute, virtualization (VMware vSphere / Hyper-V), storage, and backup/DR solutions that protect patient data and clinical systems., • Architect and manage Microsoft Azure hybrid cloud environments, including compute, networking, identity (Entra ID), and security services aligned with NXHS compliance requirements., • Develop Infrastructure-as-Code (IaC) using Terraform for automated, auditable provisioning across clinical and administrative environments., • Architect, manage, and troubleshoot enterprise networking (LAN/WAN, VLANs, routing/switching, wireless, VPN, firewall) across corporate and clinical facilities., • Administer Microsoft 365 tenant services (Exchange Online, SharePoint, Teams), including security configuration, DLP, and retention policies aligned with HIPAA requirements., • Ensure infrastructure configurations comply with HIPAA, CIS benchmarks, and organizational security baselines. Partner with cybersecurity and IT leadership on identity governance, vulnerability remediation, and infrastructure hardening., • Deploy and manage the Microsoft Defender security stack (Endpoint, Servers, Cloud, Identity) across hybrid infrastructure. Project Leadership & Collaboration • Serve as the primary R&D partner to the Senior Manager, Platform & Operations on AI and agentic initiatives, picking up technical threads independently when leadership bandwidth is constrained., • Partner with Clinical Informatics, Data Engineering, and Service Delivery teams to ensure platform readiness for AI-powered application deployments, clinical system implementations, and enterprise modernization., • Evaluate emerging AI platforms, agent frameworks, and infrastructure capabilities; deliver strategic recommendations to IT leadership on architecture decisions that will define the next 3 years of NXHS technology. POSITION QUALIFICATIONS: EDUCATION: • Bachelor’s degree in Computer Science, Information Technology, or a related field required; equivalent professional experience considered. EXPERIENCE: • 10+ years of hands-on experience in infrastructure engineering or platform development, with demonstrated ability to operate at a senior level across enterprise environments., • 2+ years of hands-on AI/ML engineering experience, building with LLMs, agent frameworks, RAG pipelines, or agentic automation in a real environment (not just coursework or tutorials). This is a rapidly evolving space; velocity and depth of learning matter more than years on a resume., • Demonstrated experience building and deploying AI/ML solutions beyond proof-of-concept, whether in production, internal tooling, or serious R&D. We value someone who has shipped something real over someone with a long resume of vendor certifications., • Healthcare IT experience preferred, particularly supporting clinical environments with 24/7 uptime requirements., • Experience with multi-agent system design patterns: shared vs. isolated memory, message bus architectures, agent specialization, and tool-use frameworks., • Experience supporting healthcare EHR platforms (Meditech, Epic, or similar) from an infrastructure perspective., • SQL proficiency sufficient to partner daily with the Senior Data Engineer on warehouse schema design, query optimization, data pipeline architecture, and AI agent data access patterns, • Comfort operating with minimal vendor support on bleeding-edge platforms. Proven ability to pioneer through ambiguity via documentation, experimentation, and community engagement. LICENSURE/CERTIFICATION: • Certifications: Azure Administrator, Azure AI Engineer Associate, Azure Solutions Architect, AWS Certified Solutions Architect, AWS Certified Machine Learning Engineer, NVIDIA Certified Professional, or equivalent. AI & Agentic Engineering Skills: • LLM orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or equivalent agent-building toolkits., • Vector databases and embedding pipelines (Pinecone, Qdrant, pgvector, or equivalent) for RAG and agent memory architectures., • NVIDIA AI stack: Nemotron models, NVIDIA Guardrails, DGX administration, GPU compute management. This is the current on-premises platform; hands-on experience preferred, strong aptitude to learn required. Must be willing to pivot if the organization adopts alternative on-prem or cloud-native agentic platforms., • Cloud AI services across multiple providers: Azure AI Foundry (OpenAI, Cognitive Services), AWS AI/agentic services (Bedrock, SageMaker), or equivalent. Must be comfortable operating across cloud boundaries, not single-platform dependent., • Python development for AI/ML workflows, API development (FastAPI, Flask), and scripting/automation., • REST API design, webhook architectures, OAuth/app registration, and Microsoft Graph API integration for programmatic access to M365 services., • RPA platforms and intelligent automation design, with an understanding of how agentic AI extends traditional RPA capabilities. Infrastructure & Platform Skills: • Microsoft Azure ecosystem: hybrid cloud architecture, identity (Entra ID), networking, and security., • Enterprise virtualization (VMware or Hyper-V), Windows Server and Linux administration, and OS hardening., • Enterprise networking: TCP/IP, VLANs, routing/switching, firewall management, VPN technologies., • Infrastructure-as-Code (Terraform preferred) and PowerShell scripting for automation and configuration management., • Microsoft 365 enterprise administration, Microsoft Defender security stack, and HIPAA Security Rule requirements for infrastructure. TECHNICAL COMPETENCIES The following tools, platforms, and systems are directly relevant to this role within the NXHS environment: Domain Technologies & Platforms AI & Agentic NVIDIA stack (Nemtron, Guardrails, etc.), LangChain, LlamaIndex, Semantic Kernel, AutoGen, vector databases (Pinecone, Qdrant, pgvector), RAG pipelines, embedding models Cloud AI Services Azure AI Foundry, AWS Bedrock, AWS SageMaker, model hosting & inference (multi-cloud) Development Python (FastAPI, Flask), REST APIs, Webhooks, Microsoft Graph API RPA & Automation Power Automate, intelligent automation platforms, agentic RPA design patterns Cloud & Hybrid Microsoft Azure (IaaS, PaaS), Azure DevOps, Azure AI Foundry, AWS (Bedrock, SageMaker) Microsoft 365 Exchange Online, SharePoint, OneDrive, Teams, Graph API, DLP Virtualization VMware vSphere / vCenter, Microsoft Hyper-V Identity & Access Microsoft Entra ID, Active Directory, Group Policy, PKI, Conditional Access Server Platforms Windows Server, Enterprise Linux Distros Storage & Backup Enterprise SAN, Veeam, Druva Networking TCP/IP, DNS, DHCP, VLANs, VPN, Aruba switches & APs, Cisco firewalls Automation & IaC Terraform, Python, PowerShell Healthcare Meditech EMR, Fukuda, BD Pyxis, 3M Security Microsoft Defender (full stack),CIS Benchmarks, HIPAA controls

Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship now or in the future. This position is not eligible for employment visa sponsorship, and the company will not assume sponsorship obligations for existing visa holders. Living Our Values All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live. Why Join Us • Career Growth: Advance your career with opportunities for leadership and personal development., • Culture of Excellence: Be part of a supportive team that values your input and encourages innovation. A Day In The Life As a Lead Data Engineer within the Trailblazer initiative, you will play a crucial role in architecting, implementing, and managing robust, scalable data infrastructure. This position demands a blend of systems engineering, data integration, and data analytics skills to enhance TFG's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs. The ideal candidate brings deep expertise in Lakehouse design principles, including layered Medallion Architecture patterns (Bronze, Silver, Gold), to drive scalable and governed data solutions. This is also a highly visible leadership role that will represent the data engineering function and lead the Data Management Community of Practice across TFG. As a Lead Data Engineer you will: • Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka., • Work within cloud environments like AWS or Azure to leverage services including but not limited to EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing., • Architect and operationalize data pipelines following Medallion Architecture best practices within a Lakehouse framework-ensuring data quality, lineage, and usability across Bronze, Silver, and Gold layers., • Develop and optimize data models and storage solutions (Databricks, Data Lakehouses) to support operational and analytical applications, ensuring data quality and accessibility., • Utilize ETL tools and frameworks (e.g., Apache Airflow, Fivetran) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics., • Lead the Data Management Community of Practice, serving as the primary facilitator, coordinator, and spokesperson. Drive knowledge sharing, establish best practices, and represent the data engineering discipline across TFG to both technical and business audiences., • Collaborate closely with data scientists, providing the data infrastructure and tools needed for complex analytical models, leveraging Python or R for data processing scripts., • Ensure compliance with data governance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment., • Monitor and troubleshoot data pipelines and databases for performance issues, applying tuning techniques to optimize data access and throughput., • Stay abreast of emerging technologies and methodologies in data engineering, advocating for and implementing improvements to the data ecosystem. What We Need From You • Bachelor's Degree in Computer Science, MIS, or other business discipline and 10+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req or, • Master's Degree computer science, MIS, or other business discipline and 5+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req, • Demonstrated experience designing and implementing Medallion Architecture in a Databricks Lakehouse environment, including layer transitions, data quality enforcement, and optimization strategies. Required, • Expertise in developing ETL/ELT workflows Required, • Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native data offerings Required, • Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage Required, • Strong experience in AWS cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks Required, • Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala) Required, • Hands on RDBMS experience (data modeling, analysis, programming, stored procedures) Required, • Familiarity with machine learning model deployment and management practices is a plus Required, • Strong executive presence and communication skills, with a proven ability to lead communities of practice, deliver presentations to senior leadership, and build alignment across technical and business stakeholders. Required, • AWS Certified Solution Architect Preferred, • Databricks Certified Associate Developer for Apache Spark Preferred Travel Requirements 20% The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business. Join Us The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at . We celebrate diversity and are committed to creating an inclusive environment for all associates. #LI-TW1

Classification: Non-Exempt We are Alsco Uniforms. We've been working hard for our customers since 1889 when we invented the uniform and linen rental industry. Alsco Uniforms has grown into a worldwide leader serving over 350,000 customers in 13 countries. It's our job every day to make every aspect of the customer experience better. Whatever our customers need, Alsco Uniforms finds the answers that work for them. Our employees are the heart and soul of Alsco Uniforms. As a result, we have a long history of strong financial performance, continuous improvement, and customer service. We're seeking driven professionals with ambition to grow within our company. We'd love to talk to you about how you can fit into our team of diverse individuals and how your hard work will be rewarded with competitive pay and benefits and ongoing career development. Join our team and build your career with Alsco Uniforms! Job Summary: The Stockroom Worker prepares, alters and processes new or used garment inventories for delivery to customers. Maintains inventory levels and their records, receives new garments from vendors and notifies supervision of problems such as back orders or wrong items sent. Performs other tasks as required. Our full-time employees enjoy: 401K Plan with Company Match Medical, Dental, Vision, FSA/HSA Life Insurance, Disability Insurance Vacation, Sick Time, Holidays Choice of Global Cash Card or Direct Deposit Career Advancement Learning & Development Opportunities Inclusive and Diverse Team Environment Essential Functions: • Retrieve finished, clean garments from rail storage system or receive new garments from vendors. Review vendor packing ticket/invoice for accuracy., • Identify and track shortages, back orders or other problems, notify supervision., • Inspect garments for quality, alter/mend as needed using a sewing machine or by hand, then shelve garments or put in use., • Use computer to prepare property mark labels. Use label sealing machinery or sewing machine., • Prepare garments according to route, customer and individual user, then place into route carts/bins for loading into delivery vehicles or designated area. Follow written packing instructions or garment order forms., • Work at a rate to keep up with the flow of garments and delivery date requirements., • Place garment orders using a computer, phone or fax, maintain inventory levels, perform withdrawals, inventories, maintain records and prepare reports or orders., • Continuously meet efficiency and safety standards for the position., • Keep work area neat and clean., • Follow written and verbal instructions and perform other tasks as directed by supervision. Additional Functions: • Recognize colors and sizes, count and sort accurately., • Multi-task with a high degree of accuracy., • Have adequate computer skills or ability to learn., • Comprehend and follow written packing instructions or work orders., • Comprehend and follow written and verbal direction. Typical Environmental Conditions: • Production areas of a typical industrial laundry facility, which includes working with or around large machinery, variations in temperature, odors, humidity, lint and dust. Travel Requirements: • None. Eligible candidates must be vaccinated against COVID. For a general description of benefits that are being offered for this position, please visit alsco.com/benefits. Alsco is an Affirmative Action/Equal Employment Opportunity Employer. Revised: 09/10/2021 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

This job carries with it the obligation to uphold the Mission of Lone Star College (LSC) in carrying out the duties of the position. A commitment to positive interpersonal behaviors, professional communication, integrity, leadership, stewardship, respect and accountability to LSC students and employees is essential. Cultural Beliefs • One LSC, • Student Focused, • Own It, • Foster Belonging, • Cultivate Community Lone Star College has been recognized in multiple categories. As faculty members of Lone Star College, we strive to create a nation of world citizenry in our students. In that pursuit, we model ways of thinking and being that incorporate diversity, equality, and equity. Our culture, then, requires the possession of transcendent qualities that, while immeasurable, are evident in global citizens. We are compassionate with our students, colleagues, and ourselves. We are innovative in the pursuit of learning. Ultimately, we create a culture where learning thrives, people are safe, and we mirror the qualities of world citizenry. Lone Star College faculty are dedicated to four qualities of excellence: • Student Invested, • Content Expert, • Pedagogically Excellent Lone Star College offers high-quality, low-cost academic transfer and career training education to 80,000+ students each semester. LSC has been named a 2023 Great Colleges to Work For institution by the Chronicle of Higher Education. LSC consists of eight colleges, seven centers, eight Workforce Centers of Excellence and Lone Star Corporate College. Lone Star College-System Office employees are based at one of two System Office locations; The Woodlands and University Park. Both are the site for multiple administrative departments and system-wide training programs. Location address is 20515 SH 249 (SH 249 and Louetta Road) Houston, Texas 77070-2607. PURPOSE AND SCOPE: Trainers are responsible for providing the learning activities and support that will lead to the achievement of the course objectives and contribute to the educational environment of the college and the community. Primary responsibilities are to plan, develop and teach courses within the curriculum in a manner that facilitates student learning. Part-time CC Trainers are hired in a part-time capacity, contingent upon the needs of the College and its corporate clients. In partnership with our clients, you will be the direct key to creating a successful outcome in the education of our clients' employee populations in learning new machining and manufacturing-related skills as indicated below. ESSENTIAL JOB FUNCTIONS: • Delivers training in traditional and hybrid modalities in the Machining program; courses may include CNC programming, basic machine shop, lathe and mill operations, mathematics, blueprint reading, safety, and/or use of hand tools, • Reviews Machining technology course content and objectives, • Maintains professional relationships with students, colleagues and the community, • Works with Corporate College to continuously improve instructional quality by reviewing and utilizing innovative methodologies, techniques, and delivery methods, • Evaluates students by a variety of means to measure their progress in achieving course objectives and inform them in a timely manner of their progress, • Ability to work with Corporate College staff and corporate client personnel to meet varying training schedules and respond appropriately to learner feedback, • Excellent interpersonal and communication skills, both verbal and written, • Project management and problem-solving skills The work is sedentary. Typically, the employee sits comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items, such as papers, books, or small parts; or driving an automobile. No special physical demands are required to perform the work. WORK SCHEDULE AND CONDITIONS: • PC workstation running on a LAN in a Microsoft Windows environment, calculator, phone and other general office equipment, • Internal and external contacts as needed to carry out the functions of the position, • Work is performed in a climate-controlled office or lab environment with minimal exposure to safety hazards, • Travel to the LSC locations and to external classroom/lab locations will be required, • Hours will vary depending on class time, • Associate's degree or higher in manufacturing, industrial or CNC machining technology and minimum 3 years in the respective field, or an equivalent combination of education and experience, • At least 5 years related work experience By joining our top-notch institution, you will enjoy being a part of an organization that offers a supportive, collegial work environment, excellent work/life balance, tuition waiver, participation in a tax deferred retirement plan, professional development opportunities and more. Go to the Job Search page, click on 'My Activities' at the top of the page. Under My Cover Letters and Attachments you will click on 'Add Attachment.' Please be sure to put the Job ID# in the title once you name your file for cover letters only, unless you attached your cover letter with your resume. If you are applying for an Instructional position (i.e. Faculty, Adjunct Faculty, Instructor), please ensure you include the following to be considered: Resume/CV, Cover Letter, Teaching Philosophy, and unofficial transcripts. You must limit your file name for any attachment to 40 characters or less. ALL APPLICANTS MUST APPLY ONLINE ONLY We will not accept application material received via fax, email, mail, or hand delivered. Postings for part-time and adjunct positions are active for the academic year. By selecting the option to receive notifications on your profile, you will begin receiving electronic communication regarding new opportunities with Lone Star College (LSC). If selected for an interview, a recruiter will contact you by phone, or email to schedule an interview. Lone Star College participates in the E-Verify program, under which Lone Star College provides the federal government with information from each new employee's Form I-9 to confirm that the employee is authorized to work in the United States. More information on the E-Verify program is available at ___. Lone Star College is an EEO Employer. All positions are subject to a criminal background check.

Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship now or in the future. This position is not eligible for employment visa sponsorship, and the company will not assume sponsorship obligations for existing visa holders. Living Our Values All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live. Why Join Us • Career Growth: Advance your career with opportunities for leadership and personal development., • Culture of Excellence: Be part of a supportive team that values your input and encourages innovation. A Day In The Life You'll architect and build our enterprise platform for data, machine learning, and agentic AI. This is a 100% hands-on technical leadership role - not a theoretical one (think builder, not TOGAF/Zachman framework guru). What You'll Do • Define architectural patterns, enterprise standards, and engineering best practices, • Write code to add features to the platform in Python and Terraform, • Balance the needs of individual AI use cases against broader platform principles, • Design automated processes for reproducibility, auditability, and traceability, • Apply deep expertise across DevOps, MLOps, CI/CD, and platform automation, • Cut through complex, contradictory information to make sound technical decisions, • Bachelor's degree in computer science (required), • 10+ years of relevant experience, or an equivalent combination of education and experience, • A career that began in software engineering and evolved into architecture by leading teams that built large, multi-tenant, and high-throughput applications, • Expert-level software engineering, Python, and computational algorithms., • Deep AWS expertise and fluency with Infrastructure as Code (Terraform, YAML), • Ability to quickly build expertise in the platform's technologies, such as Databricks, Lang Graph, etc. Travel Requirements 10% The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business. Join Us The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at . We celebrate diversity and are committed to creating an inclusive environment for all associates. #LI-TW1

This job carries with it the obligation to uphold the Mission of Lone Star College (LSC) in carrying out the duties of the position. A commitment to positive interpersonal behaviors, professional communication, integrity, leadership, stewardship, respect and accountability to LSC students and employees is essential. Cultural Beliefs • One LSC, • Student Focused, • Own It, • Foster Belonging, • Cultivate Community Lone Star College has been recognized in multiple categories. As faculty members of Lone Star College, we strive to create a nation of world citizenry in our students. In that pursuit, we model ways of thinking and being that incorporate diversity, equality, and equity. Our culture, then, requires the possession of transcendent qualities that, while immeasurable, are evident in global citizens. We are compassionate with our students, colleagues, and ourselves. We are innovative in the pursuit of learning. Ultimately, we create a culture where learning thrives, people are safe, and we mirror the qualities of world citizenry. Lone Star College faculty are dedicated to four qualities of excellence: • Student Invested, • Content Expert, • Pedagogically Excellent Lone Star College offers high-quality, low-cost academic transfer and career training education to 80,000+ students each semester. LSC has been named a 2023 Great Colleges to Work For institution by the Chronicle of Higher Education. LSC consists of eight colleges, seven centers, eight Workforce Centers of Excellence and Lone Star Corporate College. Lone Star College-System Office employees are based at one of two System Office locations; The Woodlands and University Park. Both are the site for multiple administrative departments and system-wide training programs. Location address is 20515 SH 249 (SH 249 and Louetta Road) Houston, Texas 77070-2607. PURPOSE AND SCOPE: It is the responsibility of the teaching Trainers to provide the learning activities and support that will lead to the achievement of the course objectives and contribute to the educational environment of the college and the community. Primary responsibilities are to plan, develop and teach courses within the curriculum in a manner that facilitates student learning. Part-time CC Trainers are hired in a part-time capacity, contingent upon the needs of the College and its corporate clients. In partnership with our clients, you will be the direct key to creating a successful outcome in the education of our clients' employee populations in learning critical health, safety and/or environmental protection information, skills, precautions, procedures, best practices and/or laws and regulations. ESSENTIAL JOB FUNCTIONS: • Delivers training in one or more of the following programs: Workplace Safety, Industrial Hygiene, First Aid/ CPR/Automatic Electronic Defibrillator, OSHA 10- and 30-hour General Industry and/or Construction, Hazardous Waste and Emergency Response (HAZWOPER), Hazardous Materials (HAZMAT), Confined Space Entry, Machine Guarding Standards, Lockout/Tagout, Accident Investigation, and other occupational safety and health topics, • Reviews course content and objectives, • Conducts training sessions and provides feedback for evaluating the effectiveness of training activities., • Maintains professional relationships with students, colleagues and the community, • Works with Corporate College to continuously improve instructional quality by reviewing and utilizing innovative methodologies, techniques, and delivery methods, • Evaluates students by a variety of means to measure their progress in achieving course objectives and inform them in a timely manner of their progress, • Must have excellent interpersonal, communication and organizational skills; must have demonstrated problem-solving ability, • Ability to provide successful training in spite of less than ideal facilities/classroom environment or equipment occasionally available at client location, • Demonstrated ability and commitment to work collaboratively, • Must demonstrate instructional skills, • Ability to manage complex situations while demonstrating a high degree of judgment, tact and discretion, • Skilled in Windows environment with basic proficiency with common office software (word processing, spreadsheets, presentation software) The work is sedentary. Typically, the employee sits comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items, such as papers, books, or small parts; or driving an automobile. No special physical demands are required to perform the work. WORK SCHEDULE & CONDITIONS: • PC workstation running on a LAN in a Microsoft Windows environment, calculator, phone and other general office equipment, • Internal and external contacts as needed to carry out the functions of the position, • Work is performed in a climate-controlled office or lab environment with minimal exposure to safety hazards, • Equipment required for specific course, e.g., manikins for CPR training, • Travel to the LSC locations and to external classroom/lab locations will be required, • Hours will vary depending on class time, • High school diploma and at least 5 years of related work experience, • Associate or Bachelor degree By joining our top-notch institution, you will enjoy being a part of an organization that offers a supportive, collegial work environment, excellent work/life balance, tuition waiver, participation in a tax deferred retirement plan, professional development opportunities and more. Go to the Job Search page, click on 'My Activities' at the top of the page. Under My Cover Letters and Attachments you will click on 'Add Attachment.' Please be sure to put the Job ID# in the title once you name your file for cover letters only, unless you attached your cover letter with your resume. If you are applying for an Instructional position (i.e. Faculty, Adjunct Faculty, Instructor), please ensure you include the following to be considered: Resume/CV, Cover Letter, Teaching Philosophy, and unofficial transcripts. You must limit your file name for any attachment to 40 characters or less. ALL APPLICANTS MUST APPLY ONLINE ONLY We will not accept application material received via fax, email, mail, or hand delivered. Postings for part-time and adjunct positions are active for the academic year. By selecting the option to receive notifications on your profile, you will begin receiving electronic communication regarding new opportunities with Lone Star College (LSC). If selected for an interview, a recruiter will contact you by phone, or email to schedule an interview. Lone Star College participates in the E-Verify program, under which Lone Star College provides the federal government with information from each new employee's Form I-9 to confirm that the employee is authorized to work in the United States. More information on the E-Verify program is available at ___. Lone Star College is an EEO Employer. All positions are subject to a criminal background check.

About the Role** Mercor is seeking experienced customer services representatives to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. It's an opportunity to contribute your expertise to cutting-edge AI research while working independe

Core Qualifications - 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning. We're seeking talented Data Scientists with strong analytical and modeling expertise to bring hands-on data science excellence and elevate the qual

Evaluate AI agent outputs and data science solutions, providing detailed written feedback that captures correctness, efficiency, and reasoning quality. Core Qualifications - 3+ years of professional or research experience in data science, machine learning, data engineering, AI systems, or software e

Core Qualifications - 3+ years of research, academic, or industry experience in Machine Learning, or Data Science, or Software Engineering, or Computer Science, or Statistics, or Biology, or Electrical/Mechanical/Civil Engineering, or Physics, or Chemistry, or Mathematics, or Materials Science, or o

We leverage advanced analytics and machine learning to better understand our audiences, personalize experiences, and shape the future of entertainment. Key Responsibilities Develop, deploy, and maintain machine learning models focused on consumer analytics (e. Work with large-scale datasets to extra

Have extensive experience with developing and maintaining ML Models in a GCP environment & open to a long term contract? Apply today! This Jobot Consulting Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $75 - $95 per hour A bit about us: We are seeking an experienced AI/ML Consultant with strong expertise in Google Cloud Platform (GCP) and Sentiment Analysis/NLP technologies to support a high-visibility initiative with one of the world’s leading technology organizations. This consultant will work closely with engineering, analytics, and AI-focused stakeholders to enhance and optimize existing machine learning models focused on sentiment analysis, natural language processing, and large-scale data interpretation within a cloud-native GCP environment. The ideal candidate is highly hands-on, comfortable working in fast-paced consulting environments, and capable of quickly understanding and improving existing AI/ML workflows and models. Why join us? Contract / Consulting engagement Fully Remote Flexible part-time hours possible High-visibility AI initiative supporting a globally recognized technology organization If you enjoy solving complex AI/ML problems, improving real-world NLP systems, and working within cutting-edge GCP environments, we’d love to connect. Job Details Key Responsibilities Design, optimize, and maintain sentiment analysis and NLP models within GCP environments Improve model performance, accuracy, scalability, and reliability Work with existing codebases and AI pipelines to enhance current capabilities Analyze structured and unstructured datasets to identify trends, sentiment patterns, and actionable insights Collaborate cross-functionally with technical and non-technical stakeholders Validate model outputs and ensure accuracy across multiple datasets and use cases Support model training, testing, tuning, and deployment activities Contribute to AI/ML best practices, documentation, and process improvements Assist with troubleshooting and resolving model performance issues in production environments Required Qualifications Strong hands-on experience with Google Cloud Platform (GCP) Professional experience developing or supporting Sentiment Analysis and/or NLP models Experience with modern transformer-based models such as BERT, RoBERTa, or similar NLP architectures Strong Python development experience Experience training, evaluating, and deploying machine learning models Understanding of ML model evaluation metrics and performance optimization techniques Experience working with cloud-native AI/ML tooling and services within GCP Ability to work independently in a consulting or project-based environment Strong communication and stakeholder collaboration skills Preferred Qualifications Experience supporting enterprise-scale AI initiatives Familiarity with Vertex AI and related GCP AI/ML services Experience with MLOps concepts and CI/CD workflows for AI deployment Prior consulting experience supporting external clients or agency environments Experience working with large-scale datasets and real-time analytics pipelines Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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Marketing Analytics - CAC, LTV, Subscriptions This Jobot Job is hosted by: Dylan Currier Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $100,000 - $130,000 per year A bit about us: We are a household name in the entertainment industry, known for delivering unforgettable experiences that bring people together. From live events and ticketing to digital and subscription-based offerings, we connect millions of fans with the content and moments they care about most. Behind the scenes, we operate with the mindset of a startup—fast-moving, collaborative, and deeply focused on innovation. We’re constantly exploring new ways to better understand our customers, optimize their journey, and create more meaningful engagement through data. Our teams leverage modern technologies and advanced analytics to power smarter decisions across the business. By combining creativity with data science, we’re able to enhance everything from ticket sales strategies to personalized subscription experiences. We believe in empowering our people to take ownership, experiment, and make an impact. Whether it’s launching new products, refining customer insights, or building scalable data solutions, every team member plays a key role in shaping the future of entertainment. Join us and help redefine how audiences discover, engage with, and experience live and digital entertainment. Why join us? Opportunity to work with a leading brand in the entertainment space A dynamic, startup-oriented culture with room to make a direct impact Fully remote work environment with flexibility Competitive compensation and benefits Job Details We are looking for a Data Scientist to join a well-known, household-name company in the entertainment industry. This role sits at the intersection of data, product, and business strategy, with a strong focus on consumer analytics across ticketing and subscription-based offerings. You will build and deploy models that drive key business metrics such as churn, lifetime value (LTV), and customer acquisition cost (CAC), while uncovering actionable insights to optimize ticket sales and customer engagement. This is an opportunity to work within a fast-moving, startup-like environment backed by the scale and brand recognition of a major entertainment company. Key Responsibilities Develop and maintain predictive models for churn, LTV, and CAC to inform growth and retention strategies Analyze ticket sales data to identify trends, forecast demand, and optimize pricing and promotions Generate insights on customer behavior across subscription and transactional products Partner with product, marketing, and analytics teams to translate business needs into data-driven solutions Design and analyze A/B tests to evaluate product features, campaigns, and pricing strategies Build scalable data pipelines and workflows in collaboration with data engineering teams Communicate findings clearly to both technical and non-technical stakeholders Required Qualifications 3–5 years of experience in data science, analytics, or a related field Proven experience building models related to churn prediction, LTV, CAC, or similar consumer metrics Strong proficiency in Python and SQL Experience working with modern data platforms such as Snowflake and cloud environments like AWS Solid understanding of statistical methods, machine learning techniques, and experimental design Experience working with large, complex datasets and deriving actionable insights Ability to thrive in a fast-paced, startup-like environment Preferred Qualifications Experience in entertainment, media, ticketing, or subscription-based businesses Familiarity with forecasting models and time-series analysis Experience with data visualization tools (e.g., Tableau, Looker) Exposure to big data tools (e.g., Spark) Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

This job carries with it the obligation to uphold the Mission of Lone Star College (LSC) in carrying out the duties of the position. A commitment to positive interpersonal behaviors, professional communication, integrity, leadership, stewardship, respect and accountability to LSC students and employees is essential. Cultural Beliefs • One LSC, • Student Focused, • Own It, • Foster Belonging, • Cultivate Community Lone Star College has been recognized in multiple categories. Lone Star College-Kingwood Lone Star College offers high-quality, low-cost academic transfer and career training education to 80,000+ students each semester. LSC has been named a 2023 Great Colleges to Work For institution by the Chronicle of Higher Education. LSC consists of eight colleges, seven centers, eight Workforce Centers of Excellence and Lone Star Corporate College. Lone Star College-Kingwood, an innovative and dynamic community college located in the pine-forested suburbs of northeast Houston, has an opening for someone interested in working with a diverse group of colleagues who want to make a difference in the lives of students and grow professionally. Kingwood focuses on fulfilling individual dreams and enhancing community life and offers unique programs in respiratory care, computer gaming and dental hygiene. Location address is 20000 Kingwood Drive, Kingwood, TX 77339. PURPOSE AND SCOPE: The PT Specialist III issues procurement cards, provides assistance and training, audits transactions to adhere to policy and procedures, runs reports, analyzes data, and reports audit findings to administrators. He or She provides assistance and training for purchasing, Accounts Payable and credit cards to campus personnel and division managers. He or She trains travel and expense prepay auditor on financial module and procedures and acts as backup. The Specialist III is responsible for cash handling and accounts receivable (A/R) of student accounts. He or She executes job duties to ensure effective operations of department. He or She reviews and analyzes reports, records, and directives, and confers with others to obtain data required for department activities. He or She provides guidance to students, LSC Student Services, and LSC Financial Aid with regard to tuition, fees, payment plans, and collections efforts. ESSENTIAL JOB FUNCTIONS: • Analyze financial procurement card accounts and transactions. Report and record violations. Issue procurement card and travel and expense credit cards. Maintain credit card spreadsheets and data., • Provide training and assistance on purchasing guidelines to requestors and division managers. Enter requisitions and contract for business services. Provide assistance with office of general counsel contracts and procedures., • Provide instruction and direction to campus personnel on accuracy of direct pay request and accounts payable guidelines. Verify for accuracy and process direct payments for processing., • Train and assist Travel and Expense. Prepay Auditor for Travel and Expense module as SME. Act as backup to Prepay Auditor for travel and Expense module., • Create Budget journals and JE's. Perform year-end processes. Serve as back-up for campus business office journal entries, bank deposits and general ledger reconciliations. Create General Ledger journals such as transfer funds from suspense accounts to corresponding accounts., • Assist students with account finance and payment activities associated with receivables, billing and collection activities., • Manage third party billing, collection and reporting functions on student accounts to ensure accuracy and timeliness, • Review, validate and adjust student accounts for tuition waiver and fees in accordance to state and financial aid guidelines., • Assist cashiers with daily functions as needed. Record refund monies for vending machine. Request vendors to deliver refunds., • Sit on various campus hiring committees for staffing coordination and selection., • Record students receivables payments and balancing at the end of work session. Prepare student receivables deposits., • Deliver instructions to students to set up payment plans online. Assist some student with manual payment plans. Deliver instructions to students and provide assistance in filling out Financial Agreement Responsibility. Deliver instructions to students and provide assistance in obtaining 1098t forms. Deliver instructions to students and provide assistance in creating a refund profile online., • Deliver instructions to employees to fill out employee waivers. Email employee waiver forms to employees upon request and enter waivers into system., • Requires detailed analytical skills and a high level of accounting skills and knowledge, • Proficiency in use of personal computer workstation with standard software applications, • Excellent interpersonal and organizational skills to interact with subordinates and direct/coach work efforts, • Excellent interpersonal relationship and communication skills, • Ability to organize functions to ensure compliance with deadlines and regulatory requirements, • Ability to transfer knowledge to subordinates and higher authorities; Ability to determine the approach for doing the work, • Ability to work in an environment that may have unpredicted requirements or demands, • Ability to follow specific procedures that may result in interaction with co-workers, citizens, or other individuals, • Ability to work in a responsive environment where co-workers or citizens bring problems to incumbent for resolution; Ability to determine the problem and create an individual solution, • Ability to prepare and or process purchase orders The work is sedentary. Typically, the employee sits comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items, such as papers, books, or small parts; or driving an automobile. No special physical demands are required to perform the work. WORK SCHEDULE AND CONDITIONS: • Equipment used includes, PC workstation running on a LAN in a Microsoft Windows environment, calculator, phone and other general office equipment, • Interface with internal and external contacts as needed to carry out the functions of the position By joining our top-notch institution, you will enjoy being a part of an organization that offers a supportive, collegial work environment, excellent work/life balance, tuition waiver, participation in a tax deferred retirement plan and more. Go to the Job Search page, click on 'My Activities' at the top of the page. Under My Cover Letters and Attachments you will click on 'Add Attachment.' Please be sure to put the Job ID# in the title once you name your file for cover letters only, unless you attached your cover letter with your resume. If you are applying for an Instructional position (i.e. Faculty, Adjunct Faculty, Instructor), please ensure you include the following to be considered: Resume/CV, Cover Letter, Teaching Philosophy, and unofficial transcripts. You must limit your file name for any attachment to 40 characters or less. ALL APPLICANTS MUST APPLY ONLINE ONLY We will not accept application material received via fax, email, mail, or hand delivered. Postings for part-time and adjunct positions are active for the academic year. By selecting the option to receive notifications on your profile, you will begin receiving electronic communication regarding new opportunities with Lone Star College (LSC). If selected for an interview, a recruiter will contact you by phone, or email to schedule an interview. Lone Star College participates in the E-Verify program, under which Lone Star College provides the federal government with information from each new employee's Form I-9 to confirm that the employee is authorized to work in the United States. More information on the E-Verify program is available at ___. Lone Star College is an EEO Employer. All positions are subject to a criminal background check.

Job Title: Assistant Professor - Cardio/Thoracic Surgery. The Assistant Professor would serve as scientific lead for Dr. Under this role, the Assistant Professor will work on research projects involving machine learning and artificial intelligence with application to electronic health data.

In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI—because companies hire teams, not single-skill candidates. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP