Information Technology – Data Scientist (Data Science Track)
Job location
Remote
Type
Full Time
Responsibilities:
Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision, and recommender systems), mathematical optimization, game theory, and experimental design.
Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science, and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision-making.
Oversee the technical work of external technology partners and provide them with datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to the production cloud.
Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
Note: You could be posted to any subsidiary in SIA Group.
Requirements & Skills:
BS in Computer Science, Mathematics, Statistics, Physics, or a 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/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java, and C# is a plus.
Exposure to the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
Relevant internship or industry experience as a hands-on 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”, 2023). Additional exposure in some of the following areas is a plus:
Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
Experience in using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
Some hands-on experience with AWS, Azure, GCP, or another public cloud environment.
Good interpersonal and communication skills for working with both technical staff and non-technical business users.
Experience with Agile/Scrum/Kanban methodologies is a plus.
