Evonik
Evonik
Evonik एक वैश्विक विशेष रसायन कंपनी है, जो रोज़मर्रा के जीवन को आकार देने वाले उद्योगों के लिए मूल्यवर्धित समाधान विकसित करती है। इसका कार्य स्पेशलिटी एडिटिव्स, न्यूट्रिशन एंड केयर, स्मार्ट मैटेरियल्स और परफॉर्मेंस मैटेरियल्स जैसे क्षेत्रों में फैला है, जिसमें उत्पादों के प्रदर्शन, टिकाऊपन, स्थिरता, स्वास्थ्य और कल्याण को बेहतर बनाने पर ध्यान दिया जाता है। लगभग 33,000 कर्मचारियों और 100 से अधिक देशों में संचालन के साथ, Evonik रासायनिक प्रौद्योगिकियों, औद्योगिक नवाचार और टिकाऊ सामग्रियों में रुचि रखने वाले पेशेवरों के लिए व्यापक कार्यक्षेत्र प्रदान करती है।

AI Product Engineer, Industrial AI — Singapore

Build and deploy machine learning and LLM solutions for industrial manufacturing at Evonik in Singapore. Lead AI projects from initial problem definition through production integration, optimization, research, and operational enablement.

विवरण

  • Build, implement, and move AI solutions into production across industrial manufacturing environments.
  • Use data and model analysis to identify and deliver process optimization opportunities.
  • Lead AI initiatives from defining the problem through integrating solutions into operational workflows.
  • Enhance existing solutions and develop new methods, products, and technologies for research and development.
  • Train and support employees in applying artificial intelligence.
  • Plan and deliver projects, coordinating external service providers within established governance requirements.
  • Advise stakeholders, maintain reporting, and improve standards, methods, and tools.

आवश्यकताएँ

  • Several years of experience in technical consulting, enablement, and implementing data- and AI-driven workflows in operational settings.
  • Background developing, operating, and scaling production-ready machine learning and AI systems.
  • Practical experience with modern machine learning and LLM techniques, including prompt engineering and agent-based systems.
  • Experience connecting AI solutions with existing tools and system environments.
  • Strong understanding of machine learning and LLM models, their lifecycles, validation processes, and limitations.
  • Knowledge of contemporary cloud architectures and their application to AI and machine learning workloads.
  • Advanced Python skills.
  • Professional experience with Microsoft Azure.
  • Knowledge of process modeling and simulation.
  • Experience with Kubernetes and infrastructure as code.
  • Ability to combine simulation, machine learning, and optimization techniques.
  • Foundational knowledge of operations research.
  • Collaborative, accountable team player with a hands-on approach and strong communication skills in interdisciplinary and intercultural settings.

लाभ

  • Evonik provides benefits; details are available at https://www.evonik.com/en/careers/why.html

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