Thoughtworks
SeniorMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer at Thoughtworks. Skills: Machine Learning, MLOps, Scalable architectures, Cloud infrastructure. Contribute to design of scalable architectures. Drive development of scalable architectures”
What You'll Achieve.
Timely delivery
Industry & Context.
Problem solving
Business travel expected
What They're Looking For.
Must Have
Writing clean, maintainable, testable code, Proficient in Python or Shell scripting, Knowledge of distributed systems, Experience building/deploying/maintaining ML systems, Experience with MLOps principles, Familiar with ML concepts, algorithms, frameworks, Experience designing/operating ML infrastructure, Hands-on experience with on-premise/cloud ML pipelines
Nice to Have
Experience with Scikit-learn, Experience with Tensorflow, Experience with MLFlow, Experience with Kubeflow, Experience with Pytorch, Experience with Azure, Experience with AWS, Experience with GCP, Experience with Databricks
What You'll Do.
Contribute to design of scalable architectures
Drive development of scalable architectures
Manage infrastructure for ML applications
Ensure high availability
Collaborate with data scientists
Collaborate with engineers
Translate business needs
Own development of core functionalities
Maintain core functionalities
Develop model training
Develop model deployment
Drive functional stream
Provide technical expertise
Handle team discussions
Ensure timely delivery
Implement latest tools
Explore latest frameworks
Implement latest frameworks
Explore latest offerings
Implement latest offerings
Facilitate collaborative problem solving
Communicate effectively
Mentor other engineers
Contribute to ML strategy
Align technical capabilities
Align business objectives
Implement improvements
How You'll Work.
Team & Collaboration
Collaborative problem solving; Team discussions
Communication Scope
Communicate effectively
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. 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 proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements Job qualifications Technical
Applying for this Senior Machine Learning Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Thoughtworks?
Real rants from real employees. Read before you apply.