Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications
Job Summary
Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications.
You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals.
You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing.
Matching Summary
Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications.
Skills & Requirements
Must-have
modern architectures
scalable machine learning systems
end-to-end ML applications
Python
distributed systems
MLOps principles
CI/CD to ML
ML model lifecycles
Nice-to-have
strategic mindset
Responsible AI
continuous improvement
stakeholder management
resilient in ambiguous situations
coach, mentor and motivate others
Key Requirements
experience in developing a technical vision and strategy
experience with Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
experience with building, deploying and maintaining ML systems
experience with designing and operating infrastructure for ML workloads
hands-on experience with Azure, AWS, GCP and/or Databricks