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WBS
WBS
201 – 500 Darbinieki
EnerģētikaKonsultācijas
WBS tika dibināts Bahijā 1998. gada jūlijā. Uzņēmumu izveidoja četri bijušie Promon Engenharia darbinieki. Sākotnēji uzņēmums apkalpoja vadošos ķīmijas un naftas ķīmijas uzņēmumus, kas darbojās Kamasari naftas ķīmijas kompleksā. Mūsdienās konsultāciju un enerģētikas uzņēmuma klientu vidū ir Petrobras un Braskem. WBS darbojas filiālēs Kamasari, Sanfransisku du Kondi, Kandeiasā un Sanpaulu, kā arī Pernambuku, Riodežaneiro, Paranā, Santakatarinā un Riugrandi du Sulā.
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Vakances uzņēmumā

Remote CAD and AI Engineering Trainer

Train mechanical engineering professionals in modern CAD workflows, Generative Design, and AI-assisted design and development processes. This remote contract role focuses on practical qualification delivery from Germany.

DEVācijaAttālinātiLīgumsJaunākais speciālistsVidējais līmenisNepieciešamā Valoda: vācuMākslīgais intelekts

Apraksts

  • Explain the foundations and practical potential of AI in engineering
  • Teach AI-assisted methods for engineering design work
  • Train learners in modern CAD workflows enhanced by AI
  • Teach Generative Design and automated generation of design alternatives
  • Show how AI can support product development decisions
  • Teach AI-enabled error detection and quality assurance techniques
  • Train participants to assess and validate AI-generated design outputs
  • Guide the effective adoption of AI within established development and design workflows
  • Deliver practical, accessible, audience-focused instruction for the “Smart Design: AI Skills for CAD Professionals” qualification
  • Clarify where AI adds meaningful value across the design cycle and where engineering expertise remains indispensable

Prasības

  • Degree or technical qualification in mechanical engineering, design engineering, product development, or a comparable discipline
  • At least two years of professional experience in design, development, or technical engineering
  • Strong proficiency in at least one of Autodesk Inventor, Autodesk Fusion, AutoCAD, SolidWorks, or CATIA
  • Practical experience with parametric design and contemporary CAD workflows
  • Solid knowledge of mechanical engineering product development and design processes
  • Hands-on experience applying AI throughout development and design work
  • Experience analyzing requirements and developing concepts
  • Experience creating technical solutions
  • Experience with design and 3D modeling
  • Experience developing design alternatives through Generative Design
  • Experience optimizing components and assemblies
  • Experience conducting technical evaluations of solution alternatives
  • Experience with defect detection and quality enhancement
  • Experience producing technical documentation, specifications, and bills of materials
  • Experience using generative AI tools such as Microsoft Copilot, ChatGPT, or comparable systems
  • Ability to assess AI-generated outputs professionally for functionality, feasibility, manufacturability, and cost-effectiveness
  • Preferred: Familiarity with AI capabilities in modern CAD platforms
  • Preferred: Experience with Generative Design and topology optimization
  • Preferred: Awareness of current AI developments in design and engineering
  • Preferred: Experience improving development and design workflows
  • Preferred: Knowledge of parametric design for product variants
  • Preferred: Experience writing prompts for technical use cases
  • Preferred: Understanding of data protection, copyright, and responsible corporate AI use
  • Preferred: Experience facilitating practical projects or workshops
  • Advantageous: Experience with Autodesk Fusion Generative Design or similar tools
  • Advantageous: Knowledge of Autodesk AI, SolidWorks AI, or CATIA 3DEXPERIENCE AI
  • Advantageous: Experience applying AI to defect detection and quality assurance
  • Advantageous: Experience automating the creation of design alternatives
  • Advantageous: Familiarity with rule-based design approaches or CAD automation
  • Advantageous: Knowledge of simulation, digital engineering, or digital twins
  • Advantageous: AEVO trainer aptitude certification or a comparable educational qualification
  • Research specialization in artificial intelligence or software development is not required; the role prioritizes practical mechanical engineering experience and effective AI use in real-world design and development

Priekšrocības

  • Personalized opportunities for professional growth
  • Autonomous working arrangements
  • Long-term contractual stability
  • Fair, dependable assignment planning based on skills
  • Flexible work from home
  • Structured planning with a three- to nine-month lead time
  • Opportunities for virtual networking
  • Remote instruction delivered through Microsoft 365
  • Forward-looking working environment
  • Approachable and supportive colleagues
  • Open and transparent communication
  • Regular trainer collaboration and digital networking events
  • Reduced pricing for seminars
  • Comprehensive onboarding
  • Financial support toward earning the AEVO trainer aptitude certification

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