Information Technology - Singapore - NodeFlair

NodeFlair

Verified Company

Singapore

1 week ago

Posted by:

Wei Jie

beBee Recruiter

Description

Job Summary:

Salary
S$5,000 - S$10,000 / Monthly

Job Type

Seniority
Junior

Years of Experience
At least 2 years

Tech Stacks
AWS API Analytics PyTorch Azure Java Spark kafka Typescript JavaScript SQL Scala C# Python

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

Member of an inhouse AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partnersupplied prediction models and in their deployment to production cloud.
Note: You could be posted to any subsidiary in SIA Group.

Requirements:

BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/objectoriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
Exposure in the use of workflow/mapreduce and stream processing systems such as Spark and Kafka for bigdata processing.
Relevant internship or industry experience as a handson data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, "An Introduction to Statistical Learning with Applications in Python", Additional exposure in some of the following areas is a plus:
Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
Some handson experience of AWS, Azure, GCP or other public cloud environment.
Good interpersonal and communication skills for working with both technical staff and nontechnical business users.
Experience with Agile/Scrum/Kanban methodologies is a plus.