WBS Training

1 – 10 Darbinieki

WBS Training, kas pazīstams arī kā World Business Strategies, piedāvā profesionālo izglītību un pasākumus pasaules finanšu kopienai. Kopš 2000. gada uzņēmums atbalsta finanšu jomas profesionāļus un iestādes, nodrošinot sertifikācijas programmas, meistarklases, konferences un uzņēmumu iekšējās apmācības gan tiešsaistē, gan klātienē. Tās programmas aptver kvantitatīvās finanses, risku pārvaldību un finanšu tehnoloģijas, tostarp tādas tēmas kā algoritmiskā tirdzniecība, kvantitatīvā izstrāde, FRTB regulējums, mākslīgais intelekts finansēs, banku kases pārvaldība un klimata risku pārvaldība.

Vakances uzņēmumā

CAD and AI Engineering Trainer – Remote, Germany

Train CAD professionals to apply artificial intelligence across practical engineering workflows for a German qualification provider. Cover generative design, automation, optimization, quality assurance, and AI-assisted product development.

pirms 1 nedēļas

Vācija Attālināti Līgums Jaunākais speciālists Vidējais līmenis Nepieciešamā Valoda: vācu Mākslīgais intelekts

Apraksts

Explain the core applications and practical value of artificial intelligence in engineering
Train learners to use AI-enabled methods throughout the design process
Instruct participants in contemporary CAD processes enhanced by AI
Teach generative design and the automated creation of design alternatives
Show how AI can inform decisions during product development
Cover AI-driven approaches to detecting errors and improving quality
Guide learners in reviewing and validating designs produced with AI
Help integrate AI capabilities into established engineering and design workflows
Coach participants enrolled in the Smart Design: AI Skills for CAD Professionals program
Explain the full design lifecycle, covering requirements, concepts, design, variants, optimization, assessment, and documentation
Clarify where AI adds value and where engineering knowledge, experience, and professional judgment are still required

Prasības

Degree or technical qualification in mechanical engineering, design engineering, product development, or a related discipline
Two or more years of professional experience in design, development, or technical engineering
Advanced proficiency in at least one of Autodesk Inventor, Autodesk Fusion, AutoCAD, SolidWorks, or CATIA
Hands-on experience with parametric modeling and current CAD methodologies
Strong knowledge of mechanical engineering design and product development practices
Demonstrated ability to apply AI effectively across engineering development and design activities
Background in analyzing requirements and shaping initial concepts
Experience formulating technical solutions
Practical experience in design and 3D modeling
Experience generating alternatives through generative design
Experience improving components and assemblies through optimization
Experience assessing solution variants from a technical perspective
Background in identifying faults and enhancing quality
Experience producing technical records, specifications, and bills of materials
Experience using generative AI tools including Microsoft Copilot, ChatGPT, or equivalent systems
Ability to assess AI-produced outputs for function, feasibility, manufacturability, and economic viability
Preferred: Familiarity with AI capabilities built into current CAD platforms
Preferred: Experience with generative design and topology optimization
Preferred: Awareness of recent AI advances in design and engineering
Preferred: Experience streamlining development and design processes
Preferred: Understanding of parametric design for product variants
Preferred: Experience writing prompts for technical use cases
Preferred: Knowledge of data protection, copyright, and responsible AI practices in business settings
Preferred: Experience contributing to practical projects or workshops
Advantage: Experience with Autodesk Fusion Generative Design or a comparable tool
Advantage: Familiarity with Autodesk AI, SolidWorks AI, or CATIA 3DEXPERIENCE AI
Advantage: Experience applying AI to error detection and quality control
Advantage: Experience automating the creation of design alternatives
Advantage: Experience with rules-based design techniques or CAD automation
Advantage: Knowledge of simulation, Digital Engineering, or Digital Twins
Advantage: German AEVO trainer certification or a comparable educational qualification
Ability and willingness to explain specialist topics clearly, practically, and in a way that meets the audience’s needs

Priekšrocības

Personalized opportunities for professional growth
High degree of independence in daily work
Stable prospects for long-term contract assignments
Reliable, fair scheduling based on skills
Flexible home-based work
Three- to nine-month advance planning horizon
Opportunities for virtual networking
Remote instruction delivered through Microsoft 365
Forward-looking work environment
Supportive and approachable team atmosphere
Open and transparent communication
Regular knowledge-sharing among trainers
Digital networking event
Reduced pricing for seminars
Structured onboarding program
Discount toward the AEVO teaching qualification

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CAD and AI Engineering Trainer – Remote, Germany

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Apraksts

Prasības

Priekšrocības

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