AI Engineer

at  CULTIVAR ASIA PTE LTD

Our client is leading the way in engineering with advanced AI technologies. Their mission is to equip engineers with smart tools and insights, transforming productivity, efficiency, and creativity in their work. They focus on engineering automation, featuring flagship products such as AI Copilot, intelligent workflow, AI design automation, and knowledge automation. Their ambitious goal is to boost engineering productivity by 1000 times.
Location: Walking distance from One-North MRT

QUALIFICATIONS:

• Masters or Ph.D. degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• Strong experience in developing and deploying machine learning models and algorithms, with familiarity with the latest open-source AI platforms and tools.
• Experience with data annotation automation techniques, active learning, and human-in-the-loop processes.
• Familiarity with synthetic data generation techniques and their application in enhancing model training.
• Strong problem-solving and analytical thinking abilities.
• Excellent communication skills, with the ability to convey complex technical concepts effectively to both technical and non-technical stakeholders.
  Salary range: 6k-10k
  Interested candidates are invited to send in your resume in MS Word Format, stating your past work experience, reasons for each leave, past and expected remuneration.
  We regret to inform that only shortlisted candidates will be notified. By submitting an application to us, you will be deemed to have agreed for us to collect, use and disclose your personal data which you have submitted to your prospective employers, for the purpose of job search, and/or other services which you have consent us to perform on your behalf.
  EA License: 19C9782 (Cultivar Asia Pte Ltd)
  EA Personnel: R23113231 (Lum Charmaine

• Develop AI-driven solutions to automate and optimize workflows throughout the entire engineering lifecycle.
• Design and implement knowledge graphs to capture, organize, and visualize domain-specific insights, bridging knowledge gaps for engineers and facilitating informed decision-making.
• Analyze current engineering workflows to identify opportunities for optimization and efficiency improvements using AI technologies.
• Collect and integrate data from diverse sources, including engineering databases, sensor networks, and various devices, to populate knowledge graphs and derive actionable insights.
• Collaborate with software engineering teams to seamlessly integrate AI components into existing engineering software tools and platforms, ensuring interoperability and scalability.
• Conduct thorough testing and validation of AI systems to ensure reliability, accuracy, and performance across different stages of the engineering lifecycle.
• Document technical specifications, user guides, and best practices to facilitate knowledge sharing and ensure effective utilization of AI-driven solutions.Stay updated on the latest advancements in AI technologies, machine learning algorithms, and engineering practices through continuous learning and professional development initiatives