Thoughtworks
SeniorMachineLearningEngineer
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“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.
Problem solving; Address challenges; Propose solutions
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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