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Head of Sales, Volkswagen Group
OESL-Automotive
Lead OESL-Automotive’s global Volkswagen Group sales strategy, negotiations, and growth. Manage the sales team and coordinate customer programs across the business.
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Gramian Consulting एक रिमोट-फर्स्ट कंसल्टिंग फर्म है, जो इंजीनियरिंग, डेटा और एआई प्रतिभाओं पर केंद्रित है। यह टैलेंट ऑगमेंटेशन, भर्ती, समर्पित टीमों और कॉन्ट्रैक्टर प्रबंधन के माध्यम से संगठनों की तकनीकी क्षमता बढ़ाने में मदद करती है। इसके साथ ही, यह एलएलएम प्रशिक्षण और फाइन-ट्यूनिंग, एआई एजेंट और सहायक, एमएलऑप्स तथा एआई इन्फ्रास्ट्रक्चर जैसी सेवाएँ प्रदान करती है। यह फर्म करियर तैयारी, साक्षात्कार की तैयारी और अंतरराष्ट्रीय बाज़ार के परिचय से जुड़े मेंटरशिप और शिक्षा कार्यक्रमों के माध्यम से व्यक्तिगत करियर विकास में भी सहायता करती है। इसका कार्य व्यावहारिक इंजीनियरिंग और भर्ती अनुभव को मिलाकर ग्राहकों को तकनीकी टीमें बनाने और व्यावसायिक आवश्यकताओं के लिए एआई लागू करने में मदद करता है।
Staff Research Engineer, AI and Machine Learning — Remote in Vietnam
Lead research on frontier AI systems for Gramian Consulting, an IT professional services and engineering talent consultancy. Build experiments, prototypes, evaluations, and scalable machine learning innovations.
विवरण
- Examine the capabilities, limitations, and training techniques of frontier AI systems.
- Define research questions that guide AI products, platforms, and technical strategy.
- Investigate synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarking, and evaluation methods.
- Track advances in machine learning and identify opportunities for meaningful technical contributions.
- Create research-grade datasets, experiments, prototypes, tools, and evaluation frameworks.
- Train, test, and assess models with current AI and machine learning technologies.
- Interpret experimental findings and draw evidence-based conclusions.
- Develop reliable practices for data quality, reproducibility, experimental design, and evaluation.
- Advance research hypotheses into validated technical insights through iterative experimentation.
- Partner with Research, Engineering, Product, and Operations teams to apply findings in practice.
- Present technical discoveries to specialist and cross-functional audiences.
- Support technical reports, publications, open-source initiatives, workshops, or conferences when appropriate.
- Mentor engineers and researchers while contributing to technical reviews and discussions.
आवश्यकताएँ
- A Ph.D. or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a closely related technical discipline.
- At least 7 years of professional experience, including substantial research engineering work in machine learning or frontier AI systems.
- Solid machine learning fundamentals and practical experience designing experiments, training and evaluating models, or building AI systems.
- Research experience in synthetic or agentic data generation, reinforcement learning or post-training, model understanding, AI evaluation, benchmarks, or AI agents and tool-using systems.
- Advanced Python skills with the ability to implement, test, and rapidly iterate in research settings.
- Experience using contemporary AI and machine learning frameworks, tools, and research workflows.
- Strong scientific judgment regarding experimental rigor, data quality, reproducibility, and evidence-based decisions.
- Excellent technical communication skills and the ability to work independently across research and engineering teams.
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