
11 - 50 employés
Fondée en 2021
💼 Conseil
👥 RH Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday est une plateforme de recrutement moderne qui combine des technologies d'IA avec une vaste base de données de candidats potentiels, visant à simplifier le processus d'embauche pour les entreprises en Inde. Ils proposent divers services, y compris une approche proactive qui aide les employeurs à se connecter avec les meilleurs talents et offrent des outils pour faciliter la candidature des candidats à des postes. L'accent mis par Weekday sur l'engagement des candidats à travers plusieurs canaux, y compris les emails, WhatsApp et les appels téléphoniques, les distingue dans le paysage concurrentiel des agences de recrutement.
🕒 il y a 1 mois
🗣️🇺🇸🇬🇧 Anglais requis
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11 - 50 employés
Fondée en 2021
💼 Conseil
👥 RH Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday est une plateforme de recrutement moderne qui combine des technologies d'IA avec une vaste base de données de candidats potentiels, visant à simplifier le processus d'embauche pour les entreprises en Inde. Ils proposent divers services, y compris une approche proactive qui aide les employeurs à se connecter avec les meilleurs talents et offrent des outils pour faciliter la candidature des candidats à des postes. L'accent mis par Weekday sur l'engagement des candidats à travers plusieurs canaux, y compris les emails, WhatsApp et les appels téléphoniques, les distingue dans le paysage concurrentiel des agences de recrutement.
• Review and analyze engineering documentation, including technical reports, design documents, specifications, and project analyses. • Evaluate engineering submissions for technical accuracy, completeness, clarity, and adherence to industry best practices. • Provide detailed technical feedback, clarifications, and expert recommendations on complex engineering scenarios. • Develop real-world engineering examples, case studies, and problem sets across various engineering disciplines. • Create structured technical explanations to help improve AI understanding of practical engineering concepts. • Ensure all technical content is accurate, well-organized, and aligned with engineering principles. • Assess AI-generated engineering responses for correctness, logical reasoning, and technical rigor. • Identify errors, inconsistencies, or gaps in engineering outputs and provide actionable feedback to improve model performance. • Contribute to the development of high-quality engineering datasets for AI training and evaluation. • Work closely with project teams to ensure deliverables align with project milestones and quality standards. • Share industry best practices and technical insights to enhance project methodologies. • Collaborate effectively in a remote environment while maintaining high-quality documentation and deliverables.
• Bachelor's, Master's, or PhD in Mechanical, Civil, Electrical, Chemical, Industrial, Aerospace, Electronics, Manufacturing, or any other Engineering discipline. • Experience preparing technical reports, engineering documentation, design specifications, or project analyses. • Strong analytical and problem-solving skills with attention to technical detail. • Excellent written and verbal communication skills with the ability to explain complex engineering concepts clearly. • Ability to work independently and manage deliverables in a remote work environment. • Experience working on multidisciplinary or cross-functional engineering projects. • Ability to communicate technical concepts effectively to both technical and non-technical audiences. • Familiarity with engineering standards, regulatory compliance, quality assurance, or industry best practices. • Experience reviewing engineering documentation or providing technical guidance. • Passion for innovation, technology, and engineering education.
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