Data Scientist Lead

Michael Page; Kuala Lumpur; Hybrid; MYR 120,000 - 180,000; Full time

Job summary

A leading data transaction and analysis company is seeking a Data Scientist Lead in Kuala Lumpur. This role involves leading a team, developing deep learning models, and collaborating with engineers for scalable implementations. Strong skills in Python, cloud computing, and machine learning are essential for success in this demanding position, alongside opportunities for career growth and flexible work arrangements.

Benefits

Very attractive remuneration package

Dynamic working environment

Strong career growth opportunities

Remote work options

Qualifications

• Strong technical skills in leading a data science team.
• Knowledge of recent deep learning advancements, primarily transformers.
• Experience in implementing new models to an app.

Responsibilities

• Lead a small team and report directly to the CTO.
• Research, build and train deep learning models.
• Work with data team to process and build datasets.

Skills

Machine learning

Python

SQL

Deep learning

Cloud computing

Distributed LLM training optimization

Tools

PyTorch

Huggingface transformers

Scikit-learn

GCP AutoML

AWS

GCP

Azure

Vertex AI

Sagemaker Training

Job description

• Very attractive remuneration package
• Dynamic working environment

About Our Client

Your new company, is one of the world's largest data transaction and analysis company, mostly working with consumer facing businesses across North America and APAC. It has a tech startup type of culture.

Job Description

As Data Scientist Lead, you will be leading a small team in Malaysia, reporting directly to the CTO and responsible for:

• Identify problems with tickets from own platform as well as data engineering, understand and confirm if it is a model issue
• Researching, building and training deep learning models.
• Work with the data team to collect and process structured and unstructured datasets to build deep learning models.
• Ensure that the model remains relevant and build pipelines to retrain the model if the data changes, or when entering new market
• Working with data engineers, machine learning engineers and backend software engineers to ensure that the deployed models are scalable and performance
• Responsible for take a new model and put on their app in longer term

The Successful Applicant

You will need to have experience and technical skills in:

• Strong technical skills in data scientist lead role and Machine learning
• Required technical skills include:
• Knowledge of PyTorch and common libraries (e.g. Huggingface transformers, PyTorch lightning, Scikit-learn).
• Strong knowledge of recent deep learning advancements, primarily transformers. (e.g. ViT, BeiT, GPT & LLM models)
• The use of automated ML solutions (e.g. GCP AutoML / Azure AutoML) DOES NOT constitute as experience.
• Strong Python & SQL skills
• Experience with cloud computing is strongly preferred. (AWS, GCP or Azure)
• Experience with distributed LLM training optimization (e.g. DeepSpeed, QAT, model parallelization)
• Experience with cloud-based training is a plus (e.g. Vertex AI, Sagemaker Training

You will also need to have experience in:

• Experience in a lead role, either technical or people management
• Experienced in implementing a new model to an app would be great advantage

What's on Offer

You will be joining a very good company with strong career growth opportunities. This role also work from home.