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Job Description Job Summary The Systems Modeling and Simulation Engineer within Advanced Design & Development (AD&D) is responsible for developing high-fidelity simulation models and environments that support aircraft system integration, flight simulator development, and certification activities for future Part 23 aircraft. This role will focus on creating and validating models for avionics, flight controls, propulsion, mechanical, electrical, and other aircraft systems. These models will be used in early design evaluation and integration testing in an System Integration Lab / Iron Bird environment, and also for simulator-based verification. The engineer will work closely with cross-functional teams to ensure models accurately represent real-world performance and meet FAA certification requirements. Duties and Responsibilities/Essential Functions · Analyze experimental data to identify sources of errors, validate results, and improve models of systems and equipment. · Collaborate with avionics, flight controls, propulsion, mechanical, electrical, software, and certification teams to define modeling requirements and ensure compliance with Part 23 standards. · Collaboratively develop and maintain system and equipment-level models that simulate the behavior and performance of nominal, off-nominal, and malfunctioning/failure operating conditions. · Coordinate closely with subject matter experts from flight controls, avionics, electrical, mechanical, and powerplant systems. · Design and implement simulation environments for flight simulators and integration test labs. · Develop automated workflows for model execution, data analysis, and reporting. · Develop efficient methods to feed flight test data back into simulation models of various fidelity and complexity. · Document modeling assumptions, validation results, and integration procedures for internal and regulatory use. · Support integration testing and troubleshooting of complex aircraft systems in simulated and hardware-in-the-loop environments. · Travel up to 15% may be required. · Validate models against lab test and flight test data to ensure accuracy and reliability. Qualifications To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. · Bachelor’s degree in Aerospace, Mechanical, Electrical, Systems Engineering, or related STEM discipline. · Master’s degree in a related discipline, preferred. · 4-7 years of experience in modeling and simulation for aerospace, automotive, or similar systems. · Ability to validate models using lab and flight test data. · Advanced data science skills. · Excellent problem-solving skills and ability to work in cross-functional teams. · Excellent work planning and issue resolution skills · Experience architecting complex distributed and real-time software frameworks. · Experience in developing both low and high-fidelity system models spanning both early concept activities up to detailed design activities. · Experience using simulation and analysis for certification credit. · Experience validating complex models. · Experience with automated testing frameworks and data analysis tools. · Experience with developing, training, and optimizing neural networks or other machine learning models in the context of systems modeling. · Experience with experimental data processing and reduction techniques. · Experience with flight simulator development and integration. · Experience with hardware-in-the-loop testing and integration test labs. · Experience with National Instruments tools and software. · Expert level knowledge of Matlab, Simulink, Python, and C++. · Familiarity with ASTM standards for fixed wing aircraft. · Familiarity with system development standards. · Familiarity with system safety analytical methods and processes. · Previous aircraft certification program experience. · Previous clean sheet design and early development program experience. · Previous experience developing system models and simulations, including off-nominal operating conditions and failure modes. · Private pilot certificate or personal aviation experience. · Proficiency in MATLAB, Simulink, and Python. · Startup or rapid development program experience. · Strong understanding of aircraft systems and FAA Part 23 certification requirements. · Strong understanding of fundamentals of fixed-wing aircraft systems. · Strong understanding of the fundamentals of Differential Equations and their numerical solutions methods, electrical circuits, kinematics, and dynamic systems. · Strong verbal and written communication skills. Competencies To perform the job successfully, an individual should demonstrate the following competencies: · Adaptability & Resilience · Analytical Thinking & Problem Solving · Attention to Detail · Cross-functional Collaboration · Effective Communication · Technical Expertise in Modeling & Simulation Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice. Work beyond 40 hours per week may be required. Cirrus is dedicated to a drug free work environment promoting equal employment opportunity. Qualified applicants will receive consideration for employment without regard to race, sex, national origin, color, age, disability, religion, pregnancy, veteran status, marital and family status, sexual orientation, receipt of public assistance, genetic information or any other characteristic protected by applicable law.

Job Description Amen Clinics are outpatient health care clinics that have been providing mental wellness strategies to patients of all ages since 1989. We offer patient-first experiences and customized solutions to an array of behavioral and psychiatric conditions. This is an exciting and unique professional opportunity. The psychiatrist provides clinical leadership to ensure treatment is evidence-based and outcome driven. In addition to having the use of master’s level clinical historians, psychological testing, neuropsychological screening tools, functional brain imaging, and emerging treatments such as TMS and neurofeedback, you will be in a healthy and aesthetically pleasing work environment. You will be mentored on a variety of integrative methods that will expand your professional repertoire. You will also have multiple opportunities for writing and speaking, if that appeals to you. Essential Duties and Responsibilities: • Assist in the development, promotion and delivery of the approved Amen Clinics Method to brain health, • Patient evaluations – incorporate clinical history and brain SPECT scan findings during patient evaluation and complete final report on the day of patient evaluations., • Expected to remain current with brain imaging, psychiatric, pharmaceutical and nutraceutical technologies., • Evaluation and treatment of patients with various conditions, including: o Attention deficit/hyperactivity disorders o Mood disorders o Anxiety disorders o OCD o Psychosis o Post-Traumatic Stress Disorder o Traumatic brain injury o Obesity o Medical issues/hormone imbalances o Addictions o Alzheimer’s Disease o Memory and learning issues o Cognitive impairment o Autism spectrum disorders o Brain infections, such as Lyme disease • Commitment to using evidence-based, non-pharmacologic interventions correlated with research findings by Amen Clinics., • Attending Physician and Staff meetings., • Outreach/collaboration with outside professionals in order to build good relationships with referral sources. Qualifications and Requirements: • Board Certified preferred. Double Board Certified – a plus., • Experience working in a private practice setting--being efficient, developing referral relationships, doing outstanding clinical work, and establishing positive therapeutic relationships., • Willingness to learn to use brain imaging in clinical practice. We will train you to use brain SPECT imaging., • Experience dealing with medical issues including hormone imbalance and deficiencies as well as understanding the role they play in contributing to and/or complicating mental illness., • Experience treating patients with interventions other than psychotropic medications, including psychotherapy and evidence-based nutraceuticals. For those with limited experience in nutraceutical and other non-pharmacologic interventions, we will provide training., • Dedication to helping individuals, families and systems (such as schools, businesses, and treatment facilities) reach their full potential by creating and developing “brain healthy” strategies and practices., • Time management, organization and computer skills and ability to work independently and within a team are critical., • Excellent command of spoken and written English., • Empathy, emotional stability, ability to relate well to others, good communications skills, and above all genuine care and regard for the patient. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Sitting for long period of time, • Frequent typing and viewing of computer screen, • Frequent use of hand and fingers with machines, such as computer, copier, fax machine, scanner and telephone, • Frequent hearing, listening and speaking by telephone and in person, • Occasionally required to stand, walk, reach with hands and arms, stoop or bend Work Environment: The work environment described here are representative of those that an employee encounters white performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Work indoors in temperature-controlled environment, • The noise level is usually moderate with occasional outbursts from patients during treatment

Job Description Overview We’re hiring 5-Axis CNC Machinists for a high-mix, low-volume precision shop supporting aerospace and defense programs. Expect highly complex prints, unproven prototype setups, and tight tolerances on large-format materials where details matter—because these parts go into mission-critical systems tied to national security, not consumer products. Machinists here don’t just run parts—they own the entire manufacturing process. You’ll take complex parts end-to-end: from blueprint interpretation and multi-axis setup through first article validation and final inspection. Applying GD&T, building advanced workholding strategies, managing tool clearances for 5-axis motion, and collaborating directly with engineers on design modifications are everyday expectations. We value highly skilled machinists who bring exceptional fundamentals, think clearly under pressure, and take absolute pride in clean, repeatable work. We’re hiring on 1st and 2nd shift and offer 10+ hours/week of overtime (always available, never required). If you want a shop where your high-level skill, spatial judgment, and 5-axis expertise truly matter—let’s talk. Compensation • $33 – $38 / hour base, • 10% shift premium on 2nd, • 1st Shift: 6:30am – 3:00pm, • Medical, dental, vision, • 401(k) with match, • PTO Responsibilities • Set up and operate large-format 5-axis CNC milling centers in a precision, prototype, and job-shop environment., • Run complex work end-to-end: from blueprint interpretation and setup, to first article prove-out, validation, and final run., • Interpret highly complex blueprints, routings, and engineering models, applying advanced GD&T to ensure parts meet critical functional requirements., • Select tooling and build effective workholding strategies, paying strict attention to 5-axis machine kinematics, tool clearances, and collision avoidance., • Collaborate with engineering in the design, development, and evaluation of new products, recommending manufacturing modifications to improve part manufacturability., • Set up high-complexity, unproven parts as well as experimental prototypes, dialing in the process efficiently., • Read, write, and confidently edit CNC programs (feeds/speeds, multi-axis offsets, tool comp, and G/M-code edits) to maintain quality and throughput., • Perform rigorous in-process and final inspections using micrometers, indicators, gauges, and other precision measuring instruments, taking absolute ownership of part quality. Technical • 5+ years of CNC machining experience in a precision environment, with direct experience on 5-axis mills and large-format machinery., • Strong ability to set up complex jobs completely independently (tooling, multi-axis offsets, advanced workholding, first article prove-out)., • High-level confidence reading and interpreting complex blueprints and applying GD&T., • Proven experience holding tight tolerances on complex geometries and verifying them with manual inspection tools., • Fluency in reading and writing G/M-code and making practical adjustments at the control to optimize processes., • Solid machining fundamentals: speeds/feeds, tool selection, chip control, and tool wear management on advanced aerospace alloys., • Coach-able: open to feedback, hungry to improve, and humble enough to keep learning., • Ownership-driven: you take responsibility for the work from print to final part, and you don’t pass problems downstream., • Craftsmanship-minded: you care about doing it right, even when no one is watching., • Team-oriented: you communicate clearly, assist engineers effectively, and elevate the machinists around you., • Medical, dental, vision, • 401(k) with match, • PTO

Job DescriptionWe are seeking a proactive and knowledgeable seller to spearhead the growth of our new AI CTRL services. This is a unique opportunity to be at the forefront of Expedient’s AI strategy, responsible for acquiring new customers and establishing our presence in this exciting market. This position is available for applicants who live in and nearby Phoenix, Arizona. On-site, in-office daily collaboration is required in Expedient's Phoenix offices and data center. The ideal candidate is a strategic seller with a passion for cutting-edge technology, a knack for simplifying complex concepts, and a proven track record of exceeding sales targets. This role is unique because you aren't limited to just one lead source. You will apply three distinct sales motions to close deals: 1. The Channel Closer (Partner Ecosystem) • The Mission: Our Regional Partner Managers (RPMs) own the relationships; you own the win., • The Action: When a partner identifies an opportunity, you step in as the Artificial Intelligence authority. You will educate the client on Expedient’s AI offering, validate the technical fit, and work lock-step with the partner to close the deal. 2. The Inbound Hunter (Marketing Conversion), • The Mission: Marketing identifies the interest; you create the opportunity., • The Action: You will receive warm leads from our marketing organization. Your job is to identify the real opportunities, set the meetings immediately, and manage the full sales cycle through close for Expedient AI CTRL. A lead is just a start—your tenacity turns it into revenue. 3. The Field Force Multiplier (Internal Overlay), • The Mission: Elevate our existing field sales team., • The Action: You act as the specialist overlay for our Field Account Executives. When they uncover potential in an opportunity they are working, you parachute in to explain the product, align the Artificial Intelligence strategy to their specific business goals, and prove the ROI to the client. Additional Responsibilities:, • Develop a deep understanding of the AI CTRL services portfolio and effectively articulate its value proposition to prospective customers., • Stay current on the AI landscape to understand our competitive advantages and position Expedient as a leader in the AI/IT space., • 1–3 years of experience in B2B sales, inside sales, SDR/BDR, customer success, or related customer-facing roles, • Demonstrated ability to prospect and qualify leads or support sales activities (cold outreach, follow-ups, discovery calls)., • Basic familiarity with AI, machine learning, or cloud technology concepts and a clear eagerness to deepen technical knowledge quickly., • Strong verbal and written communication skills; comfortable participating in demos and customer meetings with guidance from senior team members., • Experience using a CRM to track activity and opportunities (Salesforce experience is a plus but not required)., • Organized, detail-oriented, and able to manage multiple tasks and follow sales processes for forecasting and reporting., • Team-oriented and coachable—able to work effectively with marketing, channel partners, and field sales., • Self-motivated, persistent, and focused on building a career in technology sales. Education and Experience: For our full-time employees we offer an exceptional benefits package including three weeks of paid time off annually that increases with tenure plus your birthday off and a health holiday to be used for preventive care. We offer parental leave, top-tier medical, dental, and vision, disability and life insurance, at an affordable rate, wellness engagement opportunities, and a 401(k) with a generous match. We also recognize the importance of a comfortable and convenient work environment. We offer a hybrid work model for many roles, paid parking and other perks. Expedient is an equal opportunity employer. Qualified applicants will receive fair and equitable consideration for employment without regard to their race, color, religion, national origin, gender, protected veteran status, disability, or any other characteristic protected by law. Powered by JazzHR skuivtlzDf

Job Description Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2. You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems. Duties/Responsibilities: • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies., • Uses machine learning techniques to create data-driven solutions for various business use-cases., • Writes programs utilizing existing libraries and methodologies., • Interprets, communicates, and presents analytic results to C-Level executives and below., • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value., • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science., • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise., • Contributes to the organization's data strategy and roadmap., • Embeds and drives the organization with the most up-to-date AI methodology. Qualifications:, • Master's or PhD degree in a quantitative field with 5+ years of data science experience., • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology, • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems., • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.), • Ability to work with large data sets from multiple data sources, • Ability to communicate complex analytics concepts and techniques to C-Level executives and below, • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners, • Intellectual curiosity, a passion for data, and a results orientation.

Job DescriptionAI Cloud Solutions Director Company Overview: Forhyre is a leading technology solutions provider that specializes in developing and implementing AI-driven cloud solutions for businesses across various industries. We are committed to delivering innovative and scalable AI solutions that help our clients optimize their operations and achieve their business goals. Position Overview: We are seeking an experienced and dynamic AI Cloud Solutions Director to join our team. The AI Cloud Solutions Director will be responsible for leading our AI cloud solutions division and driving the development and implementation of cutting-edge AI solutions for our clients. The successful candidate will have a strong technical background in AI and cloud computing, as well as a proven track record of successfully delivering complex AI projects. Responsibilities: • Lead the AI cloud solutions division and oversee all aspects of the division’s operations., • Collaborate with cross-functional teams to develop and execute the strategic vision for AI cloud solutions., • Drive the development and implementation of innovative AI cloud solutions that address client needs and deliver measurable business value., • Provide technical leadership and guidance to the AI cloud solutions team, ensuring that projects are delivered on time and within budget., • Stay up-to-date with the latest advancements in AI and cloud computing technologies, and assess their potential impact on our clients’ businesses., • Build and foster strong relationships with key stakeholders, including clients, partners, and internal teams., • Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree is preferred., • Minimum of 8 years of experience in the development and implementation of AI solutions, with at least 3 years in a leadership role., • Deep understanding of AI technologies, such as machine learning, natural language processing, and computer vision., • Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud., • Proven track record of successfully delivering complex AI projects on time and within budget., • Excellent leadership and communication skills, with the ability to effectively collaborate with cross-functional teams., • Strong problem-solving and decision-making abilities., • Competitive salary package, • Comprehensive health insurance, • Flexible work schedule, • Professional development opportunities

Job Description Job Title: C# Job Type:Contractor Location: Remote Job Summary: Join our customer's team as an expert C# engineer and play a pivotal role in an innovative AI agent project. As a vital contributor, you will leverage your expertise to train AI models and shape intelligent systems. This fully remote position is perfect for driven professionals passionate about creating transformative technology. Key Responsibilities: • Develop, implement, and maintain robust C# applications for AI agent solutions., • Collaborate with cross-functional teams to design and optimize AI model architectures., • Utilize strong back-end or fullstack capabilities to ensure high-performance and scalable solutions., • Analyze project requirements and deliver clean, efficient, and well-documented code., • Enhance AI training processes by providing expert input and innovative solutions., • Communicate effectively with team members, sharing insights and technical updates., • Expert-level proficiency in C# programming., • Over 4 years of professional experience in software development., • Demonstrated expertise in back-end or fullstack engineering., • Strong written and verbal communication skills with an emphasis on clarity and collaboration., • Experience working in remote team environments., • Track record of delivering complex technical projects efficiently., • Prior experience contributing to AI or machine learning projects., • Familiarity with training, fine-tuning, or evaluating AI models., • Exposure to modern cloud platforms or distributed systems.

Job DescriptionCompany Description As a leading healthcare education organization, Unitek Learning’s family of schools helps thousands of students launch and accelerate their careers every year. As a rapidly growing and highly successful company, Unitek is also a great place to pursue a rewarding and challenging career. We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment. Job Description We are seeking a Senior Integration Developer to design, build, and maintain robust data integrations across enterprise systems in a higher education environment. The ideal candidate will have strong technical expertise in Python, APIs, and Azure-based deployments, ensuring that data moves accurately, reliably, and efficiently between institutional applications such as Student Information Systems (SIS), Learning Management Systems (LMS), and data warehouses. This role involves developing automation solutions, optimizing infrastructure, and enabling seamless data exchange to support institutional operations, analytics, and student success initiatives. • Design and implement Python-based data integration solutions to move and synchronize data across enterprise applications with high accuracy, reliability, and performance., • Deploy and manage integrations in Azure, optimizing for scalability, reliability, and cost-effectiveness., • Utilize Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) tools to accelerate development and reduce maintenance overhead., • Automate institutional processes by leveraging application APIs, web services, and data warehouse capabilities., • Collaborate with data engineers, analysts, and application administrators to design, test, and support end-to-end data workflows., • Monitor, troubleshoot, and enhance integration performance and reliability., • Document integration architectures, workflows, and deployment procedures for ongoing maintenance and knowledge sharing., • Stay current with emerging technologies in data integration, cloud computing, and automation., • Other duties as assigned.Qualifications, • Bachelor’s degree in Computer Science, Information Systems, or equivalent experience., • 5+ years of experience in systems integration, data engineering, or application automation., • Strong programming skills, particularly in Python., • Deep understanding of RESTful APIs, SOAP services, and other web service technologies., • Proficiency with SQL and experience working with relational databases (e.g., SQL Server, PostgreSQL, or Azure SQL)., • Experience with Azure services such as Azure Functions, Logic Apps, Data Factory, and Storage Accounts., • Experience with higher education systems, including Student Information Systems (SIS) and Learning Management Systems (LMS) such as Banner, Workday Student, PeopleSoft Campus Solutions, Canvas, or Blackboard., • Version control experience using Git/GitHub or similar platforms., • Strong problem-solving and debugging skills., • Knowledge of machine learning workflows and advanced data analytics., • Experience integrating with ERP, CRM, and identity management systems (e.g., Workday, Salesforce, or Azure AD)., • Familiarity with event-driven architectures and message queuing technologies (e.g., Kafka, RabbitMQ, or Azure Service Bus)., • Experience with containerization and orchestration (e.g., Docker, Kubernetes)., • Understanding of security, privacy, and compliance requirements in higher education environments (e.g., FERPA). Additional Information For Full Time Employees, We Offer: • Medical, Dental and Vision starting the 1st of the month following 30 days of employment, • 2 Weeks’ starting Vacation per year. Increasing based on years of service with company, • 12 paid Holidays and 2 Floating Holiday, • 401K with a Company Match, • Company Paid Life Insurance at 1x’s your annual salary, • Leadership development and training for career advancement, • Tuition assistance and Forgiveness for you and your family up to 100% depending on program

Job Description Compensation: $180,000 to $220,000 annually On-site Location: Scottsdale, AZ POSITION SUMMARY The Director of Platform Data Analytics will build, lead, and scale our internal data function. This individual will oversee a multidisciplinary team of Data Managers and BI Developers, driving both internal excellence and high-impact client deliverables. These deliverables will focus on helping our clients understand and optimize their business growth potential through data-driven insights, including target market analysis, geographic expansion opportunities, and human capital resource planning. This is a high-visibility, strategic role that bridges data infrastructure, analytics leadership, and client impact. This leader establishes the vision for how data is prioritized, governed, and leveraged across a matrixed and global organization. They own the analytics intake and prioritization process, ensuring work is aligned to business objectives, enterprise OKRs, and highest-impact initiatives. Success is defined by data trust, disciplined execution, and analytics that materially improve decision-making and performance. ABOUT THE COMPANY Our mission is to help business owners achieve their personal, professional, and financial goals through the growth of their businesses. We work in dozens of verticals and provide strategic business guidance through courses, live events, partnerships, and investments. Our core values are the backbone of our business and guide our hiring process: we are inspirational, disciplined, accountable, transparent, aligned, and results oriented. This company operates nationally and is growing by the day. SUCCESS LOOKS LIKE • Data-driven insights directly influence organizational decision-making, leading to measurable improvements in efficiency, revenue growth, and customer satisfaction, • Analytics work is consistently prioritized against business objectives and enterprise OKRs. Intake, prioritization, and delivery are predictable, transparent, and efficient, • The data analysis department operates as a cohesive and high-performing unit, with leaders and team members demonstrating growth, innovation, and collaborative excellence, • The organization achieves a high level of data maturity (secure, accurate, trusted), characterized by robust governance frameworks, seamless system integration, and reliable, actionable data, • The company adopts cutting-edge analytics technologies and methodologies, maintaining a competitive edge in its industry, • Strong relationships with internal and external stakeholders result in alignment of analytics efforts with strategic priorities, driving successful outcomes OBJECTIVES • Develop and lead analytics teams across a matrixed and global environment, • Develop and implement a strategic vision for the data analysis department, aligned with organizational goals, • Design, implement, and continuously optimize analytics intake and prioritization processes aligned to company objectives, • Ensure analytics resources are focused on the highest-value initiatives, • Oversee the integration and optimization of data systems and governance, ensuring efficiency, scalability, data integrity with controls for quality, privacy, security, access, and regulatory compliance, • Lead the design and implementation of enterprise-wide data governance frameworks, • Ensure that Platform Deliverables are created with accuracy and meeting client deadlines, • Drive innovation by researching and adopting advanced analytics tools, AI/ML technologies, and methodologies, • Mentor and develop department leaders, fostering a culture of collaboration and continuous improvement, • Manage resource allocation and budget for data analysis initiatives to maximize ROI, • Balance innovation with operational efficiency through industry best practices and thoughtful adoption of advanced analytics, AI, and/or automation, • Collaborate with senior leadership to align analytics strategies with broader business objectives, • Establish performance metrics and monitor the impact of data-driven strategies on business outcomes - including effectiveness, adoption, and value, • Represent the organization in key industry forums, showcasing thought leadership in analytics, • Oversee the creation of predictive models and dashboards to support proactive decision-making, • Partner with IT to ensure robust infrastructure support for analytics tools and system COMPETENCIES • Proven ability to lead enterprise analytics organizations with strategic and operational rigor, • Experience designing and managing analytics intake and prioritization frameworks, • Ability to critically review, interpret, and coach team members on their deliverables, • Expertise in enterprise-level data analytics and visualization tools (e.g., Tableau, Power BI, Looker), • Advanced proficiency in programming languages and frameworks, such as Python, R, and SQL, • Strategic thinking with the ability to translate data insights into actionable business strategies, • Ability to allocate departmental resources to optimize team member and vendor resources to meet deadlines and targets, • Proven experience in leading cross-functional teams and managing complex projects, • Deep understanding of data governance, security protocols, and regulatory compliance, • Exceptional communication skills, capable of engaging technical and non-technical stakeholders, • Strong business acumen, particularly in operational and financial analytics, • Commitment to fostering an innovative and inclusive team culture, • Expertise in predictive modeling, machine learning, and AI applications in business, • Proficiency in suitability analysis, scenario planning and financial modeling, • Ability to balance innovation with efficiency and execution discipline, • Strong business acumen and executive communication skills EDUCATION AND EXPERIENCE • Bachelor’s degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Master’s degree preferred, • 5+ years of experience in data analysis, business intelligence, or a related domain, with at least 5 years in leadership roles, • Proven track record of managing data initiatives in mid-to-large-scale organizations 10X TOTAL REWARDS We offer a comprehensive benefits package for full-time employees that includes: • Your Health: Medical, dental, and vision coverage for you and your dependents, a 100% paid EOS Fitness membership, and a 10% discount from Eat Clean Phoenix because when you feel good, you perform at your best., • Your Future: 401(k) with up to 3% company match, uncapped commission opportunities, and non-sales team members earning $20,000+ annually. Your financial growth is just as important as your professional growth., • Your Growth: Access to $250,000+ in educational resources, the 10X Mentorship Program, course reimbursement, and company-supported certifications including PMP and SHRM because we invest in the version of you that's always leveling up., • Your Edge: Hands-on experience with AI integrated into your daily workflows, keeping you ahead of the curve in an ever-evolving industry., • Your Life: Generous PTO that grows with your tenure plus bonus PTO for weekend events worked, competitive parental leave (8 weeks primary / 4 weeks secondary + 1 month remote), pet insurance through SPOT, and Employee Assistance Program through Guardian. PHYSICAL REQUIREMENTS • Ability to travel as needed to meet with stakeholders, • Prolonged periods of sitting and working on a computer COMMITMENT TO DIVERSITY As an equal opportunity employer committed to meeting the needs of a multigenerational and multicultural workforce, Cardone Ventures recognizes that a diverse staff, reflective of our community, is an integral and welcome part of a successful and ethical business. We hire local talent at all levels regardless of race, color, religion, age, national origin, gender, gender identity, sexual orientation or disability, and actively foster inclusion in all forms both within our company and across interactions with clients, candidates and partners. If this position caught your eye, send us your resume! For best consideration, include the job title and source where you found this position in the subject line of your email to careers @cardoneventures.com. Already a Cardone Ventures candidate? Please connect directly with your recruiter to discuss this opportunity.

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors., • Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain., • Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models., • Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems., • Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment., • Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems., • Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units., • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

A leading AI research firm is seeking experienced film and video editors to contribute to innovative machine learning projects.This fully remote role allows you to work on your own schedule, creating and reviewing deliverables that enhance AI research quality.Candidates should have a background in f

Job DescriptionDescription: Position Level: Non-exempt Reports To: Operations Manager Position Summary: The Lead Inserter Operator is responsible for setting up, training, and assisting the inserter operators in producing quality product, accurately in a timely manner. This role entails conducting thorough quality checks, ensuring adequate availability of products for inserter jobs, and maintaining effective communication with both production and administrative staff. The Lead Inserter Operator plays a pivotal role in upholding precision and adherence to established guidelines and procedures, emphasizing the importance of consistent, detailed work in the inserter operations. Effective communication skills and a commitment to maintaining high standards of quality are integral aspects of this leadership role. Essential Job Functions (include but are not limited to): • Meet with managers daily for schedule, job progress, tasks, • Read job tickets and properly document both counts of product and times that job was produced into the shop floor data system (Tharstern), • Maintain accurate counts of inventory including parts and supplies, • Work with temp agency to keep accurate counts of temp employees on the floor as needed and ensure that they are assigned to the correct inserter, • Update managers throughout the day of completed quantities of each machine that is scheduled in production, • Train new operators and provide them with all the information and tools needed, • Work with the W+D technician to ensure all inserters are up to date on any software updates and maintenance, • Source correct materials for job according to job ticket, • Constantly monitor quality of finished product, • Oversee and verify that all maintenance is up to date on all inserters, • Assist with housekeeping in the inserting area, • Follow all required safety procedures such as: PPE's, Ergonomics, Chemical Hazards, etc. Performs job in a manner that protects the health and safety of all employees, • Maintain production charts and records, • Give direction to inserter crew through production and downtime, • Provide leadership as required, • Provide input to supervisor for evaluations, • Follows all company policies and procedures, • Complete and demonstrate a full understanding of ongoing training concepts and applications, • In addition to the essential functions and responsibilities listed above, all positions are also responsible for:, • Emulating the Runbeck values in daily interactions with internal and external customers, • Meeting company standards pertaining to quantity and quality of work performed on an ongoing basis, performing all work-related tasks in a manner that is in compliance with all Company policies and procedures., • Adhering to Company policies, procedures, and directives regarding standards of workplace behavior in completing job duties and assignments while maintaining regular and timely attendance Requirements: Education/Skills/Experience: • High school diploma or general education degree (GED), • Minimum of 2 years working in a production facility, preferably on inserting equipment, • Excellent attention to detail, organizational skills, and meets deadlines, • Good interpersonal and customer contact skills, • Good written/verbal communication skills, • Effectively sets priorities, • Ability to track and report on opportunities for improvement and success, • Listening effectively when others are speaking, • Credible, responsive team-player, • Ability to perform and retain various skill-related tasks, training, and operations, • 18 years of age (minimum) Critical Competencies: • Customer Service Excellence, • Accountability, • Passion for Results, • Integrity, • Development, • Job knowledge, • Safety, • Adaptability / Flexibility, • Quality Physical requirements: • Frequently lift and/or move up to 25 pounds and occasionally lift and/or move up to 50 pounds, • Frequently stoop, kneel, or bend over, • Stand for extended periods of time, • Talk and hear, both in person and by telephone, • Read and interpret documents in English such as job tickets, safety rules, operating and maintenance instructions, and procedure manuals, • Write routine reports and correspondence in English, • Speak in English effectively before groups of workers, • Add and subtract two-digit numbers and to multiply and divide with 10’s and 100’s, • Solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists., • Interpret a variety of instructions furnished in written, oral, diagram, or schedule form, • Willingness to train in other departments, • During election cycles, this position may be required to work up to 12-hour shifts and up to 7 days a week Work Environment: • Primarily indoors, controlled temperature environment, • While performing in this environment the employee may be exposed to fumes or airborne particles, moving mechanical parts and vibration, • Ability to work in a plant work environment with a variation of noise levels to include high to moderate noise due to hand tools, machinery, heavy equipment, forklift, crane, hoist, pallet jack, alarms, and general conversations, • This position will be working with office equipment such as computer, printer, scanner, copy/fax machine, and telephone, • Ability to work at a consistent pace, • Ability to work in a team environment and communicate in a professional manner, • Sustains housekeeping standards in accordance with appearance guidelines Safety Requirements: • Immediately report incidents involving injury, illness, property, or equipment damage, • Comply with all company and customer OSHA, safety policies, procedures, rules, and best practices, • Report any unsafe task, operation, or safety hazards immediately, • Participate in ongoing safety meetings and training, • Be constantly aware of personal safety and that of coworkers, • Ability to use and operate hand tools, power tools, and other equipment required for work safely and effectively Training to be completed: • Comprehensive understanding of the vision, goals, and objectives of the business, • All relevant Company Business System software, • Company Learning Management System software, • Successfully complete continuing education required to maintain knowledge of systems and programs Certificates/Licenses: • Must be able to pass all applicable background checks

Job Description Job Title: Data Engineer Job Type:Contractor Location: Remote Job Summary: We are seeking an expert Data Engineer to join our customers team and play a pivotal role in developing next-generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems. Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success. Key Responsibilities: • Design, implement, and manage data pipelines to support complex AI agent training initiatives., • Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets., • Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL., • Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange., • Contribute to the optimization of AI models through effective data engineering practices., • Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders., • Bachelors degree in Computer Science, Engineering, or a related field., • 3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects., • Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript., • Strong understanding of AI concepts and experience in training AI agents., • Exceptional written and verbal communication skills, with a focus on clarity and collaboration., • Experience implementing robust data pipelines and scalable architecture for machine learning projects., • Masters degree in a related field., • Direct experience with AI agent frameworks and real-world deployment projects., • Previous work in fast-paced startup or innovation-driven environments.

Job DescriptionKUBRA HQ is KUBRA’s unified, AI-powered, cloud-native platform that brings together all of our billing, payments, and customer experience solutions under one scalable system. It serves as the foundation for KUBRA’s products — from payments and alerts to portals and analytics — enabling clients to manage the entire customer communication and billing journey seamlessly. The AI Engineer is responsible for designing, building, and operationalizing intelligent systems that extract value from data and power AI-driven product capabilities. This role spans applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, data science and advanced analytics. The AI Engineer partners with Product, BI, and Data Engineering teams to establish AI and machine learning standards, architect scalable AI systems, and deliver measurable business impact across internal and customer-facing solutions. This is a hybrid opportunity in Tempe, AZ.How You’ll Contribute • Design and maintain scalable data-to-AI pipelines covering ingestion, transformation, feature/prompt engineering, model training, orchestration, deployment, and monitoring., • Deliver AI-driven solutions that measurably improve key product or operational metrics (e.g., revenue uplift, cost reduction, consumer satisfaction, platform efficiency, prediction accuracy, latency reduction)., • Partner with Data and Product to identify and execute AI opportunities aligned with strategic objectives., • Establish and enforce AI and machine learning and data operational standards, governance, and best practices across the organization., • Deliver actionable, data-driven insights and reporting to inform business decisions and evaluate performance across products, operations, and AI systems., • Build reliable experimentation frameworks to validate model performance and business impact and drive iterative improvements through reliable model evaluation and testing., • Own the scalability, robustness, observability, optimization and operational excellence of production AI systems and data pipelines.Strengths That Shine in This Role, • Strong analytical and problem-solving skills, with the ability to translate ambiguous business requirements into structured AI and data solutions., • Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders., • Ability to collaborate effectively across Product, Engineering, BI, and Data teams., • Strong organizational skills and ability to manage multiple priorities in a fast-paced environment., • Proactive, ownership-oriented mindset with the ability to work independently and drive solutions from concept to production., • Professionalism and composure when operating under pressure or resolving production issues.Skills That Matter in This Role, • Minimum of 3-5 years of designing, building, and operationalizing end-to-end data and AI systems in production environments, • Sound knowledge of machine learning lifecycle from data gathering and data preparation to feature engineering to model deployment, monitoring and iteration., • Hands-on experience with LLM-based systems (e.g., RAG architectures, prompt engineering, model evaluation, API integration)., • Strong programming skills in Python & SQL, experience writing production-quality code, • Exposure to AWS Bedrock and preferably AWS Sagemaker, Cloud based AI/ML services and modern data platforms, • Experience integrating external AI/LLM APIs and building and operationalizing application-layer AI services is desirable., • Strong software engineering fundamentals, including experience with CI/CD, testing practices, and containerization concepts.Why You’ll Love Working Here, • Thrive in an award-winning, innovation-driven culture that champions growth, embraces diversity, and fosters inclusion for all. See our awards →, • Earn competitive pay with annual performance-based bonuses that recognize your impact, • Invest in your future with our 401(k) plan featuring company matching, • Stay healthy with comprehensive medical, dental, and vision coverage, plus HSA and FSA options, • Recharge with paid vacation and sick days — and a paid day off for your birthday, • Make an impact with two paid volunteer days to give back to your community, • Advance your skills with free access to LinkedIn Learning and our education reimbursement program, • Prioritize your mental health with a free premium Headspace membership, • Stay active with our on-site fitness center, • Refuel at fully stocked refreshment stations with complimentary drinks and snacks

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will..- Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.- Automate the training, testing and deployment processes for machine learning models.- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.- Ensure compliance with security and data privacy standards in all MLOps activities. Qualifications:- 3-5 years of experience in MLOps, DevOps or a related field.- Bachelor’s degree in Computer Science, Data Science or a related field.- Strong understanding of machine learning principles and model lifecycle management.- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.- Knowledge of CI/CD pipelines, automation tools and version control systems like Git.- Strong problem-solving skills and ability to troubleshoot complex issues.- Experience with monitoring tools and practices for model performance in production.- Ability to work collaboratively in cross-functional teams. Bonus/nice to have: - Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.- Knowledge of big data technologies like Apache Spark or Hadoop.- Familiarity with data engineering practices and tools.- Experience with A/B testing and model validation in production environments.- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.The US yearly salary range for this role is: $157,000 - $234,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Join UCT and be part of the fastest-growing sector in the world! We indirectly touch every semiconductor chip that goes into every smartphone, smart car and device that uses artificial intelligence. This is a critical time for the semiconductor industry and for UCT - as technology evolves, we evolve with it. UCT is a diverse workplace where every talented employee is committed to continuous innovation, challenging the status quo and exceeding customer expectations. If you are a person with a relentless drive to succeed, a strong focus on quality with a passion for success – join us today! UCT is looking for a talented Analyst IV, IT D&A to join us in Chandler, AZ! Job Summary: ONSITE • The Data Scientist will serve as a key contributor to the company’s data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced analytics, generative AI, and machine learning solutions. This role focuses on applying statistical modeling, classifier models, and predictive analytics to improve supply chain efficiency, back office, and operational performance., • Develop, validate, and deploy machine learning and statistical models to support manufacturing and supply chain use cases such as supplier lead time prediction, inventory segmentation and safety stock optimization, demand forecasting, and predictive cash flow modeling., • Design and implement classifier models to identify & predict patterns in product, customer, and supplier taxonomies., • ML/Ops: support the full lifecycle of AI Model development & support. Evaluate and monitor model performance, accuracy, and scalability in production environments., • Utilize AI to augment IT operations; advocate for augmentation of IT processes using AI including Generative AI for software development (Github Copilot or similar), as well as Agent development in Copilot studio for knowledge management and automation of IT operational workflows. Qualifications • Education –, • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. Master’s degree is a plus., • Experience, • Strong proficiency in Python, Scikit-Learn, Optuna, • Hands-on experience with Databricks, ML/OPS in Databricks, Unity Catalog, • Experience developing classifier models (Random Forest, KNN, Decision Trees), • Strong SQL skills., • Experience with Microsoft Copilot Studio development & agent governance, • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders., • Strong problem-solving abilities, with a focus on delivering practical, scalable solutions., • Competitive salary and performance-based bonuses. Criteria: Work Environment: • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, • Ability to kneel, reach, walk, push, pull and grasp., • Ability to lift up to 50 lbs., • Ability to move arms, hands, and fingers, • Ability to sit for sustained periods., • Required to wear personal protective equipment., • Prolonged sitting with some standing and bending intermittently during work hours., • Required to wear personal protective equipment where applicable., • Subject to frequent interruptions., • The ability to talk on the phone and use a computer for extended periods may be required.

Job Description Capstone Precision Group manufactures the highest quality brands in consumer ammunition. We represent Berger, Lapua, SK, and VihtaVuori in the United States and distribute Berger to several other countries as well. As part of the Nammo group, we value quality and precision above all else. Our brands have been recognized throughout the world as the go-to choice for anyone who depends on the highest level of performance out of their ammunition and components, whether in a combat scenario, on a hunt, or at the target range. JOB SUMMARY The Set-Up Technician will be responsible for set-up, maintenance, troubleshooting, and operation of the machines in the bullet department. Which produce components and assembled products. This position is only for experienced machine operators or set-up technicians who can start operating machines with little training (beyond learning what is specific to our process). PRIMARY RESPONSIBILITIES · Must be able to read and follow written and verbal instructions. · Will be expected to operate and maintain machine output levels. · Maintain daily logs. · Accurately identify material and or product. · Use inspection tools to perform product and tooling measurements. · Adjust the machines as needed to meet quality and output requirements. · Communicate with shift supervisor on nonconformance issues and general discussion. · Trouble shoot and diagnose machine issues. QUALIFICATIONS AND EXPERIENCE To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. · High School diploma or General Education Diploma (GED) preferred. · Ability to accurately read and interpret documents such as safety rules, operating and maintenance instructions and procedure manuals. OTHER SKILLS AND ABILITIES Lean Training – 5S Principles PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. · Must be able to lift 25 pounds from floor level to chest height. · Must be able to stand for 3-hour duration. · Must be able to kneel, stoop, and bend continuously through a 3-hour duration. · Must be able to reach out and over equipment for short periods of time. · Must be able to lift hands above shoulder height multiple times throughout the 10-hour shift. · Must be able to push and spread material at waist height multiple times throughout the 10-hour shift. TRAVEL The position requires up to 0% of travel. WORK ENVIROMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The work is primarily performed in a typical production environment. Wear safety attire or protective gear, may be exposed to distracting noise levels, may work within a few feet of other workers. For the most part ambient room temperatures and lighting as found in a typical office environment. Why Join Us? • Four-day workweek (10-hour shifts), • Comprehensive benefits: Medical, Dental, Vision, HSA, and FSA, • Company-funded HSA contributions for eligible expenses, • Benefits begin 1st of the month following hire, • 401(k) with a 6% employer match (eligible after 30 days), • Generous PTO, holiday pay, and sick time, • Paid Christmas holiday shutdown, • Company-paid life insurance, • Tuition reimbursement and more!

Job Description At ChatBotz.ai, we are seeking a highly skilled and motivated Tech Lead to join our innovative team. As a Tech Lead - Conversational AI, you will play a crucial role in developing and implementing intelligent chatbot solutions that revolutionize businesses. Responsibilities: • Lead the development and implementation of conversational AI solutions using cutting-edge technologies., • Collaborate with cross-functional teams to gather requirements and define project goals., • Design, develop, test, and deploy highly scalable and reliable chatbot solutions., • Ensure the quality, performance, and security of the chatbot applications., • Stay updated with the latest advancements in conversational AI technologies and integrate them into our solutions., • Provide technical guidance and mentorship to the development team., • Conduct code reviews and ensure adherence to coding best practices and standards., • Troubleshoot and resolve technical issues related to chatbot applications., • Collaborate with stakeholders to define project timelines, deliverables, and milestones., • Bachelor's degree in Computer Science, Engineering, or a related field., • Proven experience as a Tech Lead or similar role in developing conversational AI solutions., • Strong programming skills in languages such as Python, Java, or JavaScript., • In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques., • Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework., • Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud Platform., • Familiarity with chatbot development tools and libraries., • Strong problem-solving skills and ability to think creatively.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. You will...- Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.- Experience working on applied research projects and shipping machine learning features/models into production.- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications.- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.- Open-minded and collaborative team player with the willingness to help others.- Experience and excitement in supporting a fast-paced high-growth environment.- Passionate about being part of an organization solving self-driving technologies. Bonus/nice to have:- Previous experience in multimodal sensor fusion. - Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will…- Collaborating with research scientists during algorithm design to ensure code is efficiently designed from inception- Identify and communicate best practices for model development- Reformulate performance bottlenecks- Develop a framework suitable for mixed precision training of multi-task, multi-modality models in a heterogeneous distributed training environment- Research, implement, and test alternative formulations for fundamental DNN operations and AV centric representations- Enable safe and efficient deployment of PnP models Qualifications:- PyTorch API and implementation- CUDA system design- Asynchronous programming model- Heterogeneous compute- C++ / libtorch Bonus:- Machine learning model architecture design- TensorRT- CUDA kernel implementation- Experience with autonomous vehicle multi-sensor model architectures The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Title: Technical Lead Job Type:Contractor Location: Remote Job Summary: We are seeking an expert Technical Lead to join our customer's team and drive innovation on a cutting-edge AI agent project. In this role, you will leverage your deep hands-on coding expertise to guide the design, development, and training of AI models. This is an exciting opportunity to work remotely with a dynamic, collaborative team on impactful technology initiatives. Key Responsibilities: • Lead technical direction and architectural decisions for AI agent development using modern programming languages., • Collaborate with cross-functional teams to design, build, and optimize scalable AI solutions., • Write high-quality, production-level code in React, Python, Node.js, PHP, .NET, C#, or C++., • Mentor and support team members, fostering a culture of technical excellence and collaboration., • Develop, evaluate, and iterate on AI model training processes to enhance performance and accuracy., • Ensure clear, concise, and effective written and verbal communication within the team and with stakeholders., • 3+ years of hands-on experience developing with React, Python, Node.js, PHP, .NET, C#, or C++., • Proven leadership experience guiding technical teams and projects to successful delivery., • Strong expertise in training AI models and implementing machine learning solutions., • Excellent written and verbal communication skills, with a passion for clarity and collaboration., • Ability to take ownership of complex tasks and drive projects from ideation to completion., • Self-motivated, proactive, and adaptable in a fast-paced remote environment., • Exposure to multiple programming languages and willingness to learn new technologies., • Prior involvement in AI agent or similar advanced technology projects., • Experience working on customer-facing or client-driven teams.

Job Description At Open Mind Developments, we are the creators of Pela Case—the world's first compostable phone case—and Lomi, a smart home composter that's revolutionizing waste. We're on a mission to leave the planet better than we found it, and our new U.S.-based facility will bring us one step closer to localized, sustainable manufacturing and fulfillment. You: • Appreciate a good debate even with your boss, • Thrive in fast-paced change, take decisive action, and run with great ideas—even if they're not yours, • Solutions Focused - figure out how to fix it instead of who is to blame, • Driven by curiosity, always learning, growing, and embracing discomfort for progress., • Bring high energy to all your interactions, • Work to protect and restore the environment while making sustainability cool., • Encourage testing, learning, and growing—we love data-backed, creative decisions., • Value intelligence, resourcefulness, and innovative thinking over rigid experience requirements., • Move fast, take risks, and aren't afraid to fail forward., • Commit to a culture that builds a strong COMMUNITY., • Foster CREATIVITY to inspire fresh innovation., • Embrace COURAGE by taking action despite uncertainty. Reporting to the Injection Molding Manager, the Injection Machine Operator works with the guidance of the Injection Molding Team Lead to operate machines, perform mold changes, inspect product quality, and assist in troubleshooting basic issues. The Operator ensures the efficient production of high-quality parts and supports the injection team in achieving production goals. This role requires an individual who thrives in an environment of continuous improvement and problem-solving. Teamwork and adaptability will be critical to success. Meeting deadlines and delivering on promises nurtures your soul. Responsibilities: • Machine Operation. Set up and operate injection molding machines following instructions and standard operating procedures., • Production Monitoring. Monitor machine operations to ensure products are produced efficiently and at the required quality level., • Production Assistance. Assist other team members and support the Technician as needed., • Mold Installation. Install molds using the correct tools and follow procedures for mold setup, under the guidance of the Technician., • Quality Control. Inspect products for quality, ensuring they meet specifications. Perform trimming, finishing, and labeling as required., • Material Handling. Mix material and colorant according to specifications. Regrind excess material and reuse as needed and as directed., • Packaging and Labeling. Label, package, and prepare products for shipment., • Machine Maintenance. Perform routine cleaning and basic maintenance tasks on machines., • Basic Troubleshooting. Identify and resolve simple machine issues, escalating more complex problems to the Technician., • Safety Compliance. Follow all safety protocols and keep the workspace clean and hazard-free., • Ability to learn procedures., • Injection molding experience and mechanical aptitude., • Knowledge of machines and processes in a manufacturing setting., • Basic math skills are needed, • Experience in a production environment., • Flexible schedule with possible production fluctuations., • Ability to lift 50 lbs and stand for an 8-hour shift., • Must be able to work in a loud environment., • Committed to quality, safety, and communication., • Strong attention to detail and pride in workmanship. Commitment to Diversity: Pela is committed to cultivating and preserving a company culture of diversity, equity, and inclusion. We know that we will grow and learn better with a diverse team. When recruiting for new members of our team, we welcome the unique contributions that you can bring in terms of your education, culture, ethnicity, race, sex, gender identity and expression, age, religion, and sexual orientation. Compensation range - USD $20-$23/hour

Job Description Job Title: Group Leader – Injection Molding Job Description The Group Leader – Injection Molding leads the production team within the molding department, ensuring all injection molding machines run at optimal efficiency and consistently produce high-quality parts. This role oversees day-to-day operations, supports and develops technicians and material handlers, and maintains a strong focus on safety, quality, and productivity. The Group Leader drives continuous improvement, enforces compliance with company policies and regulatory requirements, and serves as a key liaison between production and quality assurance. Responsibilities • Provide a safe working environment for all team members and promptly complete any required accident or incident reports., • Ensure all molding machines run to established standards, including efficiency and uptime, and that they consistently produce quality parts., • Work closely with Quality Assurance to verify that all presses are running to quality specifications and that nonconformances are addressed quickly., • Oversee all aspects of production in the molding department, including machine performance, downtime, quality, and overall department output., • Direct, support, and train all technical team members and material handlers, ensuring they understand and follow standard work practices., • Assign daily tasks and responsibilities to production team members and monitor their performance throughout the shift., • Enter production data accurately into WEBEFF and maintain proper documentation for production, quality, and safety activities., • Implement required disciplinary actions when necessary and complete all related documentation in accordance with company policies and applicable laws., • Maintain and oversee housekeeping standards in the department to ensure a clean, organized, and safe work area., • Determine when internal or external technical assistance is needed and coordinate support to resolve production or equipment issues., • Follow and enforce all Good Manufacturing Practices (GMP) and Hazard Analysis and Critical Control Points (HACCP) practices within the department., • Ensure all SQF (Safe Quality Food) requirements are followed and integrated into daily operations where applicable., • Understand the Quality Policy and apply it consistently to daily work practices and decision-making., • Promote and support a team-oriented environment, assisting others as needed to meet production and quality goals., • Take accountability for the safety of all employees under your supervision through active engagement in safety activities and clear communication of safe work expectations., • Support and investigate situations where line or equipment stoppage occurs due to perceived or imminent safety risks, ensuring safe resolution before restarting operations., • Complete all responsibilities in accordance with organizational policies and procedures and applicable laws and regulations., • Actively lead risk assessment activities in your area of responsibility and drive prioritized corrective and preventive actions to eliminate or reduce environmental, health, and safety risks., • Conduct incident investigations and root cause analyses, implementing corrective actions in a timely and thorough manner., • Ensure proper training and ongoing development of all assigned employees, including cross-training and reinforcement of safety and quality standards., • Set clear goals for the molding department or assigned organizational unit, communicate these goals to employees, and ensure alignment and progress toward achieving them., • Motivate and coach employees through effective communication and frequent performance feedback, recognizing achievements and addressing performance gaps., • Identify training needs and coordinate additional training opportunities to support employee growth, safety, and technical proficiency., • Directly supervise daily activities of all production and technical hourly employees in the molding department, including planning, assigning, and directing work., • Conduct performance appraisals, address complaints, resolve problems, and manage disciplinary actions in line with company policies., • Champion a culture where safety is prioritized over productivity and ensure decisions reflect this commitment., • Support change initiatives by listening to employees, seeking input, and promoting constructive problem-solving and conflict resolution., • Proven experience with injection molding processes and equipment, including plastics injection molding and molding machines., • Hands-on experience in production supervision within a manufacturing or molding environment., • Strong safety mindset, demonstrating commitment to creating and maintaining a safe workplace., • Ability to lead, direct, and train technical team members and material handlers in a fast-paced production setting., • Solid understanding of quality standards, including the ability to work closely with Quality Assurance to maintain product quality., • Experience with safety training, risk assessment, and incident investigation, including root cause analysis and corrective actions., • Competency in documentation control, including accurate data entry into production systems such as WEBEFF., • Strong accountability, consistently following through on commitments and prioritizing safety over productivity when necessary., • Effective verbal and written communication skills, with the ability to clearly convey safety expectations, goals, and company standards at all levels., • Demonstrated ability to engage employees, communicate plant vision, and encourage active participation in safety-related activities., • Proven team development skills, including identifying development needs and supporting continuous learning., • High level of people agility, including self-awareness, approachability, consistency, and the ability to lead by example., • Strong problem-solving and conflict resolution skills, including the ability to gather and analyze information, develop alternative solutions, and encourage constructive, solution-focused dialogue., • Ability to carry out supervisory responsibilities in accordance with organizational policies and applicable laws, including training, performance management, and disciplinary actions., • Experience working within environments that follow Good Manufacturing Practices (GMP) and HACCP principles., • Familiarity with SQF requirements and their application in a production setting., • Experience in leading risk assessment activities and driving corrective and preventive actions., • Experience motivating and coaching teams through regular feedback and performance discussions., • Comfort managing multiple priorities in a high-volume, time-sensitive production environment., • Ability to support and promote change by listening to employees, seeking input, and building trust., • Experience with structured performance appraisal processes and documentation. Employees in this role enjoy a comprehensive total rewards package and a supportive culture that prioritizes wellbeing, development, and work-life balance. The organization offers medical, dental, and vision plans, paid time off starting at 40 hours per year for full-time hourly employees (with amounts varying by location), and company-paid holidays starting at 8 days per year (also location-dependent). Team members have access to wellbeing programs and an Employee Assistance Program, as well as Health Savings Account and Flexible Spending Account options. The company provides life insurance, AD&D, short-term and long-term disability coverage, and a range of voluntary benefits to support financial security. Paid parental leave and a retirement savings plan with company match help employees plan for their families and future. Tuition reimbursement, subject to approval, supports continued education and career growth, while a discretionary bonus program, based on eligibility and hire date, recognizes individual and organizational performance. Work Environment This position operates in a dynamic manufacturing environment within the molding department. Team members are regularly exposed to moving mechanical parts, fumes or airborne particles, and extreme heat. On occasion, they may encounter wet or humid conditions, high or precarious places, toxic or caustic chemicals, outside weather conditions, extreme cold, risk of electrical shock, and vibration. The noise level is typically loud, and appropriate personal protective equipment is required. The role follows a 12-hour shift schedule with both day and night shifts available: day shift runs from 6:30 AM to 7:00 PM and night shift runs from 6:30 PM to 7:00 AM on a 2-2-3-2 style rotation. Night shift employees receive additional shift differential compensation. The environment is highly focused on safety, quality, and adherence to good manufacturing practices, with an expectation of maintaining orderly housekeeping and following established procedures at all times. Job Type & Location This is a Permanent position based out of Tolleson, AZ. Pay and Benefits The pay range for this position is $49920.00 - $66560.00/yr. Medical, dental and vision plans Paid time off, starting at 40 hours per year for full-time hourly employees, may vary by location Company-paid holidays starting at 8 days per year and may vary by location Wellbeing programs & Employee Assistance Program Health Savings Account/Flexible Spending Account Life insurance, AD&D, short-term & long-term disability, and voluntary benefits Paid Parental Leave Retirement Savings Plan with company match Tuition Reimbursement (dependent upon approval) Discretionary bonus program (initial eligibility dependent upon hire date) Workplace Type This is a fully onsite position in Tolleson,AZ. Application Deadline This position is anticipated to close on Apr 24, 2026. About Aerotek: We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meets their goals, skills and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role solving for companies’ construction, manufacturing and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are everything spirit to the test as your career continues to grow. Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. Company DescriptionWe know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.

Job DescriptionPosition Summary: We are seeking reliable individuals to participate in a paid video data collection project. Contributors will wear a comfortable head strap, attach their smartphone, or Smart Glasses(Provided by us) and record first-person (egocentric) video of normal daily activities. This data will be used to help improve next-generation AI, robotics, and computer vision systems. What You Will Do: Wear a head-mounted strap and securely attach your smartphone or Smart Glasses( Provided by Us) Record 4 hours of usable first-person video per session. Perform simple daily tasks such as walking, organizing items, cooking, shopping, working at a desk, or other routine activities. Follow the provided capture guidelines to ensure quality. Upload the recorded videos after each session. Work from home: We do not need you to work from the address we posted. You can work from home. You can collect the Smart Glasses or Mobile Phone Mounting Strap from our office in Phoenix. Requirements: Must be comfortable wearing a head-mounted smartphone or Smart glass for extended periods. Ability to complete 68 hours of total effort to capture 4 hours of quality video. Access to a modern smartphone with good camera quality or you can use our Smart Glasses Must follow instructions carefully. Reliable, self-motivated, and able to complete tasks independently. Compensation: You are expected to deliver us 4 hours of Usable videos. The task will take about 6 to 8 hours to collect 4 hours of Usable Videos. You will be paid $160 for 8 hours. Bonus incentives are available for completing multiple sessions. All equipment (head strap or Smart Glass) will be provided. Sample Tasks: Here are some of the tasks that we want to capture About Us: Objectways is a global leader in AI data collection and annotation, supporting major technology companies in building high-quality training datasets for cutting-edge machine learning applications. This is a remote position.

Job Description Position Summary AZPerio and our affiliated General Dentists are looking for an energetic, personable treatment coordinator. A treatment coordinator is a professional who provides positive patient interaction while supplying general office support with a variety of clerical activities and related tasks. Responsibilities include answering incoming calls, directing calls to appropriate associates, mail distribution, flow of correspondence and communication, requisition of supplies as well as additional clerical duties. The treatment coordinator’s primary duty is to present treatment plans to patients and ensure that patients schedule in adherence with AZPerio’s collection policy. Minimum Requirements • High School degree or equivalent., • 2 years of relevant experience in customer service., • Excellent customer service, communication and interpersonal skills., • Greet and direct patients, vendors, job applicants and other visitors to the company in a professional, friendly, and hospitable manner., • Ensure phone calls, messages from email and answering machine messages are answered professionally and redirected accordingly., • Provide callers with information such as directions to the company location, company, company address, fax, website, and other related information., • Provide a welcome packet for all new patients., • Process new patient information into the database daily with set up of new patient charts for services rendered., • Schedule and confirm surgical patients., • Prepare and provide bill for patient for services rendered. Receive co-pays and other fees for services not covered by the insurance provider utilizing a credit card machine., • Coordinate pickup, delivery, and tracking of x-rays and other correspondence between office locations., • Present treatment plans to patients, adhering to the AZPerio case presentation agenda., • Be knowledgeable in all financial options, including insurance reimbursement, consistent with AZPerio policies., • Understand and implement AZPerio collection policies., • Perform daily office tasks such as filing, collating, recording, maintaining records, faxing, photocopying, posting, and other related clerical duties., • Demonstrate knowledge of all administrative tasks and responsibilities in the front office and provides support when needed., • Demonstrate knowledge of and support company mission, vision, value statements, standards, policies and procedures, operating instructions, confidentiality standards, and the code of ethical behavior., • Knowledge of excellent phone etiquette and exceptional customer service standards., • Knowledge of MS Office software; Word, Excel, and Outlook., • Knowledge of Practice Management System software., • Exhibit initiative, responsibility, flexibility, and teamwork skills to motivate others., • Social perceptiveness skills to be aware of others’ reactions and understanding why they react as they do., • Active listening skills to give full attention to what other people are saying, to take time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times., • Reading, writing, and speaking skills to communicate information effectively in work related documents; as appropriate for the needs of the audience., • Active learning skills to understand the implications of new information for both current / future problem solving., • Ability to deal effectively with people from diverse backgrounds and to converse in a calm and friendly manner; achieving trust and respect., • Ability to communicate effectively when speaking and/or writing, to respond quickly/ thoroughly to maximize customer satisfaction to common inquiries, complaints, or billing inquiries from patients, third party insurance personnel, co-workers, and other visitors to the company., • Ability to multi-task, organize/coordinate/prioritize work efficiently and to work under stress, with interruptions and deadlines; to concentrate on a task over a period of time, without being distracted., • Ability to read, listen to, and understand information and ideas presented verbally and/or in writing., • Ability to solve practical problems and deal with a variety of concrete variables in situations where broad standardization exists; to tell when something is wrong or is likely to go wrong; to recognize and solve the problem., • Ability to work independently with minimal supervision on assigned tasks, as well as to accept direction on given assignments., • Work is performed in an interior medical/clinical environment that is well lit and clean., • Moderate physical activity may be necessary. Requires handling of average weight objects up to 25 pounds or standing and/or walking for more than four (4) hours per day., • 401(k), • Medical, Dental, Vision insurance, • Employee assistance program, • Employee discounts, • Health savings account, • Life insurance, • On-the-job training, • Paid time off & Company paid holidays, • Referral program, • Pet insurance

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment. Qualifications:- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.- 3+ years of experience developing solutions in ML systems or the ML software stack.- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code.

Job Description About Dialpad Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time. More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. We're now leading the shift to Agentic AI: intelligent agents that don't just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more. Being a Dialer At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic. Your Role As an AI Productivity Analyst, you'll own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Dialpad. You'll work closely with the Head of AI Transformation and functional leads from Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks and identify AI solutions. You'll also help create structured experiments and pilot programs that demonstrate measurable business impact. In addition, you'll help bring cutting-edge AI technology into practical application, supporting implementation and tracking success to drive our internal AI transformation. This position reports to our Head of AI Transformation. What You'll Do • Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks., • Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows., • Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption., • Develop and present ROI models, providing actionable recommendations to senior leadership., • Support implementation (including light configuration, prompt engineering, and user training) of selected solutions., • Bachelor's degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields., • 1-2 years of experience., • Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects., • Solid understanding of AI technologies, machine learning concepts, and their applications in business settings., • Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise., • Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders., • Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment., • Nice-to-have: experience with SaaS integrations (Zapier, APIs) or low-code automation platforms., • Work at the center of the AI transformation in business communications, • Build and ship agentic AI products that are redefining how companies operate, • Join a team where AI amplifies every employee's impact Don't meet every single requirement? If you're excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn't meet every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Lead the strategy and execution of perception and prediction evaluation systems.- Design, code, and test tools, pipelines, services and platforms that support Waabi’s perception and prediction evaluation.- Collaborate with other teams at Waabi, including research scientists, ML and software engineers, system engineers and program managers to understand their uses and deliver features that improve our overall evaluation ecosystem.- Participate in the growth and planning for how our evaluation platform scales over the next years.- Assist in roadmap planning, prioritization, and delivery. Qualifications:- 5+ years of industry experience reading and developing production quality software.- Experience using languages such as Python, Go, or Rust.- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.- Experience working in a team environment on a common codebase.- Ability to learn new technologies quickly particularly in data analysis.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience working with robotics / AV data.- Experience with perception and prediction metrics (precision, recall, ADE, CTE, etc.).- Experience with AWS (S3, ECS, Batch, etc.).- Familiarity with workflow management technology (ex. Airflow).- Familiarity with advanced statistical analysis.- Familiarity with large-scale data processing and distributed systems.- Familiarity with machine learning concepts and evaluation methods- Comfortable with Linux. The US yearly salary range for this role is: $155,000 - $213,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Present machine learning insights to business stakeholders effectively. Over 3 years of demonstrated experience in building and deploying statistical and machine learning models. Familiarity with MLOps technologies and the entire machine learning lifecycle.

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Technology – Data and Decision Science – AI Native Engineering AI/Machine Learning Engineer, Manager Consultant The opportunity Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. AI, Data Science, and/or Machine Learnin

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience.At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in e

The ideal candidate will leverage anomaly detection, supervised learning, and experiential learning techniques to create robust and effective fraud prevention solutions. Supervised Learning: Apply supervised learning techniques to build predictive models that accurately identify fraudulent activitie

About Mercor’s talent network Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. About Mercor projects Experts in our network contribute to: - Training and evaluating AI models in Machine Learning Engineering - Creating tasks

We are seeking a Senior Applied Data Scientist – Applied Machine Learning to design, build, and deploy machine learning solutions that power data-driven products and decision-making. You will focus on translating real-world business problems into scalable machine learning systems and ensuring reli

Salary: $80,000 - 80,000 per year.Proficient in Java, SQL, React/JavaScript, Git, and JSON.Ability to write reusable Java libraries.Strong debugging skills and understanding of unit testing.Familiarity with ORMs such as Hibernate, Cayenne, or WebObjects.Experience in designing RESTful and HTTP APIs.

Commercial Roofing Assistant Project Manager.We are a leading commercial roofing contractor specializing in high-quality installations, repairs, and maintenance services.We are committed to safety, efficiency, and delivering exceptional results for our clients.We are seeking a motivated and detail-o

Location: Scottsdale, AZ Salary: $125,000 $150,000 DOE + Annual Bonus.The Concrete Project Manager is responsible for the full oversight and successful execution of concrete construction projects.This role ensures work is completed safely, on schedule, within budget, and to defined quality standard

Title: Junior Business Analyst.Duration: 2 year contract (potential for extension).Calculated Hire is partnered with a leading bank in the US.Our client is going through a major enterprise payments modernization program and is ramping up their Payment Strategy team.The goal is to consolidate numerou

Senior Project Manager (Fueling & Construction Projects).Medical, Dental, Vision, PTO, 401(k), Life Insurance, Tuition Reimbursement, EAP.There will be travel required for this position.Trips are usually for 4-6 weeks to locations including Las Vegas, Salt Lake City, Nashville, New Mexico and Wa