Thoughtworks

Thoughtworks

Lead Machine Learning Engineer

CanadaRemotePosted 3 days ago$156,000 – $251,000
Full TimeSeniorRemoteCA

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Job Description

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowl

Key Highlights

  • 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 play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation.
  • You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency.
  • You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects.
  • You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.

Qualifications

Required Qualifications

  • You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs.
  • You can design and execute cross-functional requirements based on business priorities.
  • You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python.
  • You have experience with distributed systems and scalable architectures to handle large-scale ML applications.
  • You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
  • You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
  • You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
  • You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
  • You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP and/or Databricks and associated ML managed services.
  • You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
  • You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
  • You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
  • You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
  • You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
  • You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
  • Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.

Skills & Technologies

Machine LearningPythonTensorFlowPyTorchCI/CDAzureAWSGCP

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Job Details

Employment Type

Full Time

Experience Level

Senior

Salary Range

$156,000 – $251,000

Location

Canada

Work Mode

Remote

Posted

3 days ago

Country

CA