Gramian Consulting
Gramian Consulting
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 — India Remote

Lead frontier AI research at Gramian Consulting by designing experiments, prototypes, and evaluation systems. This contract role focuses on advancing machine learning methods and translating research into practical technical outcomes.

विवरण

  • Study the capabilities, limitations, and training approaches of frontier AI systems.
  • Define research questions that guide AI products, platforms, and technical direction.
  • Investigate synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation methods.
  • Track advances in machine learning and identify opportunities for substantive technical contributions.
  • Build research-quality datasets, experiments, prototypes, tools, and evaluation frameworks.
  • Train, test, and assess models with current AI and machine learning technologies.
  • Interpret experimental results and draw conclusions supported by evidence.
  • Implement disciplined practices for data quality, reproducibility, experimental design, and evaluation.
  • Refine research hypotheses into validated technical insights through iteration.
  • Partner with Research, Engineering, Product, and Operations teams to apply findings to real-world use cases.
  • Present technical results clearly to specialist and cross-functional audiences.
  • Support technical reports, publications, open-source work, workshops, or conferences when relevant.
  • Mentor engineers and researchers while participating in 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.
  • Strong 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 agent and tool-use systems.
  • Advanced Python skills for rapidly implementing, testing, and refining research ideas.
  • Hands-on familiarity with contemporary AI and machine learning frameworks, tools, and research workflows.
  • Sound 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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