AI/ML - Software Engineer, Associate/Senior Associate, AI POD
6 months ago
Core functions:
Assess and prioritise AI opportunities within Temasek and Temasek portfolio companies based on impact, data maturity and technical feasibility to drive meaningful value creation Develop a strong understanding of Temasek portfolio companies’ AI/ML focused business and strategic priorities Stay abreast of technical developments and combine that with a keen understanding of business logic from domain experts to derive practical roadmaps and approach for business development and partnerships that could create massive value Consult and drive engagement with Temasek portfolio companies’ management teams across various industries and geographies on their AI strategies, with a view to catalyse joint business opportunities, challenge current assumptions and understand portfolio company needs to co-create innovative business outcomes leveraging the use of AI/ML Interface and work closely with Temasek’s AI technical delivery unit to bring in the latest AI techniques to create outstanding AI solutions, as well as internal Temasek teams on discussions around portfolio synergies and potential organic and inorganic opportunities; bridge the gap between stakeholders with technical and business-related challenges with our AI/ML technical experts Work with your teammates in an agile, start-up environment to solve diverse business and technical challengesQualifications/Capabilities:
3-5 years working experience with a software product company or top-tier software consulting firm Knowledge of machine learning frameworks, algorithms and principles Track record of working with customers to create significant outcomes leveraging AI/ML Experience in design/implementation/deployment/operations for Machine Learning/AI/Deep Learning solutions Strategic and business-oriented thinking, with a strong product bias as well as with a keen customer focus Ability to technically consult on business and process related needs, work effectively with technical teams to convert them into technical requirements to achieve business outcomes Self-starter with a proven ability to manage multiple priorities and to work independently; Great team player who thrives in flat-hierarchy projects Good presentation abilities, with excellent communication and writing skills, with the ability to explain complex analytical concepts to people from other fields Experience with Agile is desired, but not essential Excellent Bachelor’s or Master’s degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.). MBAs from reputable business schools with good prior STEM degrees and STEM experience will be favorably considered.-
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