VP, Applied AI Engineer, AI Alpha Group
GIC is seeking a VP Applied AI Engineer for their AI Alpha Group to build and deploy AI-driven investment systems. The role involves full-stack development, data pipeline construction, and operationalizing machine learning workflows. Candidates must possess over 10 years of experience with backend and data platforms and modern Python frameworks. This position operates in a hybrid environment with a focus on high-impact, production-ready AI solutions for the investment firm.
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Experience
10+ years
Function
Engineering
Work mode
Hybrid, Singapore
Company
Tier 2
What you will work on
GIC is seeking a VP Applied AI Engineer for their AI Alpha Group to build and deploy AI-driven investment systems. The role involves full-stack development, data pipeline construction, and operationalizing machine learning workflows. Candidates must possess over 10 years of experience with backend and data platforms and modern Python frameworks. This position operates in a hybrid environment with a focus on high-impact, production-ready AI solutions for the investment firm.
TAL's take
High-impact role at a prestigious global sovereign wealth fund, though the engineering product focus is secondary to financial operations.
Highly specific JD detailing responsibilities, stack, and AI-native focus within a specialized investment team.
Must haves
- 10+ years experience in large-scale backend and data platforms
- Hands-on expertise in Python-based backend frameworks
- Strong proficiency in PostgreSQL, Spark, and Kafka
- Experience in data modeling, feature engineering, and ELT design
- Familiarity with modern machine learning workflows and LLMs
Tools and skills
Nice to have: vector databases, graph databases, databricks, aws.
About the company
Global sovereign wealth fund with significant investment scale but not primarily a technology product company.
Posts mentioning GIC
Ather IPO: Founders, Tiger Global, Binny Bansal's 3 State Ventures to sell stake; Hero Motocorp to stay invested
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Link to my 1st Post where i discussed about SBI. https://share.gvine.app/yYujDrw15CLsLxC59 I have scaled in 70% in SBI. (Avg 635). Bank Nifty is struggling but this is the Risk Reward kind of trade for me. I just took 1 trade in Small cap space last week GICRE with Average buy price of 360. I will make a detailed post after it gives me more than 50% return or if i book out. In my next post i will bust a few myths/misconceptions related to trading and one of them might be holding you back from venturing into this field. At the end of the post i have given 5 stock e.g. check them out as well. --------------------------------------------- Why i selected Inox wind for the post not every stock in my small-mid cap portfolio is up over 100%. I wanted to show yall that capturing such a move is totally possible. You need not to have in-depth knowledge of fundamentals like margins, M3 money, Nifty PE, unemployment rate etc or business understanding in depth. With all due respect there is a reason why 99% of economists don't make massive wealth out of the market. Having a knowledge of these things is 1 skill & generating wealth out of the market is a completely different skill. I am trying to master the 2nd one so if you are an average person like me,Read ahead. It's not like I don't look at these fundamentals data points. You can have 1000 data points but you need just a few actionable ones. There is a thin line between analysis and analysis Paralysis. Most people get stuck in this paralysis. Sometimes i decide how much exposure i need to have depending on the dollar index sometimes depending on what crude oil is doing. But I don't over-complicate it too much. When to look at what data point we will get it with experience. I am still in the learning phase. Growth lies in small mid cap space and capturing such moves at the right time through just fundamentals is a stretch. That's where technicals come in for me. I can capture such moves. CHECK OUT THE COMMENT --
A breath of fresh air in the otherwise difficult agritech market