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Date Posted

Job Type

Technology

Work Setting

Salary Range

$0k $100k $200k+

Experience Level

Cloud Engineer

Talent Link by e2i

Singapore, Singapore

Talent Link by e2i is a programme to match candidates to job opportunities offered by e2i’s Industry Partners. Applicable for Singaporeans and Singapore Permanent Residents only.


This job opportunity is from our Industry Partner who is an enterprise AI solutions company.


Job Descriptions

  • Converts business problems to hypotheses and builds, validates, and deploys well packaged models to solve them using a well-defined methodology, statistics and mathematics, domain expertise, consulting, data engineering and modeling.
  • Collaborate with customers and account partners to identify new Data and AI opportunities, and build proposals and pitch materials to position as a trusted partner for AI & Data transformation
  • Organize and lead educational and ideation AI and Generative AI workshops for customers
  • Understand customer's needs and assess their data maturity
  • Evaluate and recommend appropriate data pipelines, frameworks, tools and platforms
  • Lead data feasibility studies and PoC projects to demonstrate the value and viability of Data and AI solutions
  • Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
  • Have experience in cloud services of AWS / GCP / Azure to deploy PoCs and pipelines
  • Have experience with big data frameworks on premise and on cloud



Job Requirements

  • 5+ years of Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
  • Collaborate with AI architects and engineers to data scientist and develop Data and AI solutions tailored to the clients’
  • Lead integration and deployment of data and AI products
  • Stay updated with the latest advancements in big data and GenAI along with best practices to develop thought leadership and PoV
  • Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
  • In-depth understanding of big data technologies, streaming applications and data modelling

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