Thoughtworks

SeniorMachineLearningEngineer

Singapore, Singapore
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Machine Learning Engineer at Thoughtworks. Skills: Machine learning, Architecture, Infrastructure, MLOps. Build ML architecture. Maintain ML infrastructure”

What You'll Achieve.

High availability; Performance; Security; Timely delivery; Effective ML systems; Efficient ML systems; Positive action; Accountability for work

Industry & Context.

Problems you'll solve

Problem solving; Address challenges; Propose solutions

Eligibility Requirements

Singaporean citizens, Singaporean Permanent Residency (PR)

What They're Looking For.

Must Have

Singaporean citizens, Singaporean Permanent Residency (PR)

What You'll Do.

Build ML architecture

Maintain ML infrastructure

Test ML infrastructure

Support application design

Contribute to product design

Build core capabilities

Develop ML applications

Anchor functional streams

Ensure timely delivery

Implement new frameworks

Enable problem solving

Drive development of architectures

Drive development of infrastructure

Deploy ML applications

Manage ML applications

Ensure high availability

Collaborate with data scientists

Collaborate with engineers

Translate business needs

Develop ML applications

Drive functional stream

Provide technical expertise

Handle team discussions

Implement ML offerings

Facilitate problem solving

Communicate effectively

Contribute to ML strategy

Align technical capabilities

Align business objectives

Implement improvements

How You'll Work.

Team & Collaboration

Collaborate with data scientists; Collaborate with engineers; Facilitate collaborative problem solving; Mentor other engineers; Influence teammates

Communication Scope

Communicate effectively

Process & Methodology

Ensure timely delivery, Ensure task delivery

Full Job Description

Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery. As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Due to the project requirement, candidates must be Singaporean citizens or already hold Singaporean Permanent Residency (PR) at the time of application. Job responsibilities You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security. You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications. You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation. You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks. You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape. You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers. You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives. You will pr

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