• Prepara un programma specifico per aiutare l'apprendimento dello studente • Comincia a dare lezioni private da subito • Serietà, puntualità e professionalità con gli studenti

• Work closely with site management teams and Support Centre Helpdesk • Ensure both reactive and planned preventative maintenance is completed efficiently • Manage all maintenance works on site • Completion of PPMs (fire safety, H&S & compliance) • Manage local contractors and oversee their works • Provide desk-based support for all Moto unit-based businesses • Manage escalations between Moto business and service providers

Title: Geo Tech II Location: Remote - United States Job Description: We seek to move the world forward through innovative thinking. Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services. We blend design excellence with cutting-edge technology to deliver exceptional client value. Our team is passionate about their work and committed to building the next generation of industry leaders, and as a certified Great Place to Work®, Woolpert embraces progress and innovation to create limitless opportunities for career growth. Position Overview Woolpert is hiring a Geo Tech II to join our dynamic team in support of the I-ATLAS program remotely or at our Kiln, MS office. This position reports to the Geospatial Team Leader and is responsible for processing and editing bathymetric and topographic lidar data. Qualified candidates will have interest or experience in coastal mapping and lidar processing. We are unable to provide visa sponsorship for this position. Applicants must already possess work authorization in the country the job is located. What You Will Do: - Process navigation and GPS data. - Organize, process, and analyze bathymetric lidar data and imagery. - Edit processed lidar datasets. - Document data processing issues. - Identify issues with the sensors. - Identify new processes and procedures within a project. - Assist NAVO, USACE and other clients with data processing. - Provide data acquisition support as backup to field employees. - Provide processing support when necessary, during I-ATLAS disaster response situations. - Other duties as assigned. What You Will Bring: - Must be a United States citizen. - Bachelor’s degree or equivalent; or 2+ years of geospatial experience. - Must be able to identify and distinguish colors, distances, and spatial relationships. - Must be able to follow data management and data confidentiality procedures. - Must be able to navigate Microsoft Windows operating system. - Must be able to develop proficiency with task-related software, including remote desktop, geospatial, and team communication tools. Benefits You Will Love Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including: - Freedom to Work program: Set your own schedule and location (as appropriate). - Principal program: Earn the opportunity to become an owner of the firm. - Flexible paid time off/vacation: Take time off when it makes sense for you and your team. - Career development: Explore a wide range of learning and growth opportunities within and across industries. - Health, life, vision, and dental insurance: Cover all your medical bases. - Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more! Base pay offered may vary depending on job-related knowledge, skills, and experience. Pay Range $51,100 - $63,900 USD Woolpert is an equal-opportunity employer. Woolpert is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. You may view more about EEO on our website: Equal-Employment-Opportunity-The-Law.pdf and EEO is the Law Poster Supplement. To all agencies: Please, no phone calls or emails to any employee of Woolpert or any of our subsidiaries about this requisition. All resumes submitted by search firms/employment agencies to any employee at Woolpert via email, the internet, or in any form and/or method will be deemed the sole property of Woolpert, unless such search firms/employment agencies were engaged by Woolpert's Talent Acquisition Team for this requisition and a valid agreement is in place. In the event a candidate who was submitted outside of Woolpert's applicant process is hired, no fee or payment of any kind will be paid.

Role Description Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals. - Embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals. - Play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation. - Leverage deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency. - Translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects. - Own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation. - Champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement. - Navigate intricate technical challenges with proficiency, employing specialized knowledge to troubleshoot issues and guide the team towards successful resolutions. - Stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements. - Foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance. - Measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization. Qualifications - Experience in developing a technical vision and strategy, keeping it relevant and aligned to business needs. - Ability to design and execute cross-functional requirements based on business priorities. - Experience in writing clean, maintainable and testable code using Python or Shell. - Experience with distributed systems and scalable architectures to handle large-scale ML applications. - Experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms (e.g., Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch). - Experience with application of MLOps principles and CI/CD to ML. - Experience in machine learning engineering and data science, familiar with key ML concepts, algorithms and frameworks. - Experience with designing and operating the infrastructure required to run different types of ML training and serving workloads. - Hands-on experience with on-premise and cloud services for building and deploying ML pipelines (e.g., Azure, AWS, GCP or Databricks). Requirements - Understanding of stakeholder management and ability to liaise between clients and other key stakeholders throughout projects. - Resilience in ambiguous situations and adaptability to approach challenges from multiple perspectives. - Willingness to take on risks or conflicts and manage them skillfully. - Eagerness to coach, mentor and motivate others, aspiring to influence teammates positively. - Advocacy for technical excellence while being open to change when needed. - Proven leadership with a track record of encouraging teammates in their professional development. - Natural ability to cultivate strong partnerships and understand the importance of relationship building. Benefits - No one-size-fits-all career path; development is entirely up to you. - Balance of autonomy with a strong cultivation culture supported by interactive tools and numerous development programs. - Value in helping each other be our best, empowering employees in their career journeys.