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ThoughtWorks

Lead Machine Learning Engineer

ThoughtWorks
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about 2 hours ago
Lima, PeruMid Level / Senior / Staff+
H1B Sponsor

Responsibilities

  • Contribute to the direction of machine learning initiatives and align technical solutions with organizational goals.
  • Oversee the development of new systems and applications from inception to reality.
  • Lead the development of scalable and maintainable ML systems.
  • Translate client needs into technically feasible ML applications.
  • Own the development and maintenance of ML applications, including pipelines and model deployment.
  • Champion Responsible AI and advocate for a culture of excellence.
  • Troubleshoot intricate technical challenges and guide the team towards resolutions.
  • Stay updated on advancements in machine learning and implement new technologies.
  • Foster a collaborative environment through mentorship and hands-on coding.
  • Measure and analyze the impact of ML initiatives to ensure value delivery.

Requirements

  • Experience in developing a technical vision and strategy aligned with business needs.
  • Ability to design and execute cross-functional requirements based on business priorities.
  • Proficient in writing clean, maintainable, and testable code using Python or Shell.
  • Experience with distributed systems and scalable architectures for large-scale ML applications.
  • Familiarity with ML techniques and platforms such as Scikit-learn, Tensorflow, and Pytorch.
  • Knowledge of MLOps principles and CI/CD for ML systems.
  • Experience in machine learning engineering and data science, with an understanding of ML model lifecycles.
  • Ability to design and operate infrastructure for ML training and serving workloads.
  • Hands-on experience with cloud services for building and deploying ML pipelines.

Benefits

  • Support for career development through interactive tools and numerous development programs.
  • Hybrid working model with remote work options and occasional business travel.

Tech Stack

AWSAzureDatabricksGoogle Cloud PlatformMLflowPythonPyTorchscikit-learnTensorFlow

Categories

AI & MLData Science