#DNI-LI Application Engineer Location: Remote - New York Working hours: 40 DEUTZ is one of the world’s leading manufacturers of innovative drive systems. Its core competences are the development, production, distribution and servicing of diesel, gas and electric drivetrains for professional applications that is used in construction equipment, agricultural machinery, material handling equipment, stationary equipment, commercial vehicles, rail vehicles and other applications Job Summary Application Engineer - Analysis of the customer requirements and development of customer specific system solutions. - Clarification of content, planning, alignment, adequate documentation, evaluation, and approval of customer projects including conducting the application installation reviews of the engine and exhaust after treatment system. - Alignment on installation sign-off documentation with DEUTZ headquarter in Germany. - Verification and Validation (V&V) during value-add project development. - Development of V&V Plans, performing measurements related to V&V and monitoring validation at customer. - Assisting during improvements related to engineering laboratory, test bench, telemetry, and other measurement duties. - Work closely with design engineering to review project designs and ensure customer needs are met during the development process. - Review, align, and present possible new projects to the business team to determine viability and status. - Help determine market needs and oversee new product introduction along with alignment with Deutz headquarters in Germany on new engine platforms in development. - Frequent communication with sales to field requests to product changes or additions. - Travel domestically and internationally up to approximately twenty-five percent (25%) depending on business needs, mainly within the USA and Canada. Worksite Location: 30 Echowood Dr, East Amherst, NY 14051 Requirements: - U.S. Master’s degree in Mechanical Engineering; - 12 months of work experience as Application Engineer or Mechanical Engineer; - 12 months of experience with: (i) J1939 CAN BUS protocol; (ii) Specialized testing equipment, including dynamometers and ETAS INCA in conjunction with Ipetronik modules; and (iii) Engine system integration with focus on wiring harnesses and CAN display modules. 8:00am – 5:00pm, 40 hours per week. Send resume and relevant credentials to DEUTZ Corporation, HR, 3883 Steve Reynolds Blvd, Norcross, GA 30093. EEO Statement DEUTZ is an equal opportunity employer and considers all applicants for employment based on merit, competence, performance, and business needs. We do not discriminate on the bases of any status protected under federal, state, or local law. Applicants will be considered regardless of their race, color, sex, gender identity or expression, age, religion, creed, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state, or local law. In addition to complying with all applicable laws, DEUTZ also has a strong corporate commitment to inclusion.

Interns will utilize statistics and computer science to solve complex problems in healthcare. Problem areas include: diagnostic analytics such as image analysis, signal processing and pattern recognition, NLP, scheduling, risk analysis and prevention, outcome analysis, targeting and socio-economic behaviors, personalization – including sentiment, interests and affinities modeling, and process improvement (e.g. making sure patients are referred to the care teams they need). The Intern will interact with vast amounts of clinical and non-clinical data (external data sources, digital, etc.). Interns will learn the data science lifecycle including data acquisition, transformation, data engineering, exploratory data analysis, feature engineering, algorithm development, and algorithm deployment into a relevant clinical and/or business context. Interns are expected to help formulate analytical questions, perform hypothesis testing, algorithm optimization, algorithm deployment, and integrate feedback rapidly from stakeholders. Candidate needs to have an open mind and ability to take concepts developed by other industries and apply them to healthcare. Candidates should be effective communicators and good team players. Candidates who have coursework, projects, and evidence of interest in data science (e.g. participating in Kaggle competitions) but lack industry experience are ideal for this position.

• Deliver engaging, product‑agnostic AI professional learning for educators, school leaders, and district teams, focused on building AI fluency across educator and student populations • Facilitate workshops, coaching sessions, and implementation meetings that support schools as they integrate AI into instructional practice. • Customize and deliver on-site and/or virtual professional learning experiences that meet client needs and exceed expectations. • Effectively guide and pivot conversations based on customer needs during professional learning sessions. • Present a professional, supportive, and inclusive presence in all virtual and onsite interactions. • Support customers remotely and onsite to monitor progress, identify next steps, and provide ongoing guidance. • Provide insight to educators on ways to strengthen instructional practices and leverage AI responsibly and effectively. • Build strong relationships with internal teams, maintaining clear communication and alignment across all stages of implementation. • Analyze client feedback, engagement data, and key metrics to continuously improve facilitation and delivery. • Maintain accurate records and documentation for all work, including training logs, planning notes, and follow-up actions.

• Build, manage, and optimize **GoHighLevel automations and workflows** • Implement **AI-driven automation systems** to improve marketing and operational efficiency • Test all automations rigorously to ensure accuracy, performance, and zero errors before deployment • Create and maintain detailed **Standard Operating Procedures (SOPs)** and workflow documentation • Collaborate with internal teams and communicate directly with clients when required • Maintain consistent responsiveness and clear communication across all projects • Continuously improve systems for scalability, efficiency, and performance