Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications.

Company: Thoughtworks

Role: Senior Machine Learning Engineer

Location: Bangalore, India

Experience:

experience in writing clean, maintainable and testable code
experience with building, deploying, and maintaining ML systems
experience in machine learning engineering and data science
experience with designing and operating the infrastructure required to run different types of ML training and serving workloads

Key Skills:

Python
Shell
Scikit-learn
Tensorflow
MLFlow
Kubeflow
Pytorch
Azure
AWS
GCP
Databricks

Qualification:

knowledge of distributed systems and scalable architectures
familiarity with key ML concepts, algorithms and frameworks
hands-on experience with on-premise and cloud services for building and deploying ML pipelines

Role Focus:

contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications
collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications
own the development and maintenance of core functionalities within ML applications
drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks
facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers

Additional responsibilities:

stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape
contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives
proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements

Other:

Learning & Development: interactive tools, numerous development programs and teammates who want to help you grow
Travel: hybrid working model with the majority of work being completed remotely, but business travel to client locations may be required
Company Policies: equal opportunity employer, no discrimination based on various characteristics
Career journeys flourish with the strength of our cultivation culture

Senior Machine Learning Engineer

Skills Required

Description