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About the Role

Lead Machine Learning Engineers at Thoughtworks develop end-to-end scalable machine learning systems and applications using modern architectures. They impact client objectives, navigate challenges, and contribute to high-stakes projects through strategic thinking and collaboration. As a lead, you will oversee program inception, shape ML initiatives, and drive innovation.

Responsibilities

• Embrace a strategic mindset, contributing to the direction of ML initiatives and aligning technical solutions with organizational goals.
• 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.
• Leverage deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency.
• Translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects.
• Own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
• Champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement.
• Navigate intricate technical challenges with proficiency, employing specialized knowledge to troubleshoot issues and guide the team towards successful resolutions.
• Stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements.
• Foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing.
• Measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization.

Requirements

• Experience in developing a technical vision and strategy, keeping it relevant and aligned to business needs.
• Ability to design and execute cross-functional requirements based on business priorities.
• Experience in writing clean, maintainable, and testable code using Python, demonstrating attention to refactoring and readability.
• Experience with distributed systems and scalable architectures to handle large-scale ML applications.
• Experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms (e.g., Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch).
• Experience with building, deploying, and maintaining ML systems and application of MLOps principles and CI/CD to ML.
• Experience in machine learning engineering and data science, familiarity with key ML concepts, algorithms, and frameworks, and understanding of ML model lifecycles.
• Experience with designing and operating the infrastructure required to run different types of ML training and serving workloads (e.g., on-premise vs. cloud infrastructure, infrastructure as code, monitoring).
• Hands-on experience with on-premise and cloud services for building and deploying ML pipelines (e.g., Azure, AWS, GCP and/or Databricks and associated ML managed services).
• Understanding of stakeholder management and ability to liaise between clients and other key stakeholders throughout projects.
• Resilience in ambiguous situations and ability to adapt role to approach challenges from multiple perspectives.
• Ability to take on and skillfully manage risks and conflicts.
• Eagerness to coach, mentor, and motivate others, aspiring to influence teammates to take positive action and accountability.
• Enjoy influencing others and advocating for technical excellence while being open to change.
• Proven leadership with a track record of encouraging teammates in their professional development and relationships.
• Natural ability to cultivate strong partnerships and understand the importance of relationship building for business opportunities.

Skills

• Python
• Scikit-learn
• Tensorflow
• MLFlow
• Kubeflow
• Pytorch
• MLOps
• CI/CD
• Machine Learning Engineering
• Data Science
• Infrastructure as Code
• Azure
• AWS
• GCP
• Databricks

Location

• Remote

Work Type

• Full-time

Experience Level

• Lead

Salary/Compensations

• $156,000—$251,000 CAD

Benefits

• https://www.thoughtworks.com/en-ca/careers/benefits

About the Company

• Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech.
• As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work.
• For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator.
• Bring your brilliant expertise and commitment for continuous learning to Thoughtworks.
• Together, let’s be extraordinary.

Equal Opportunity

• Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law.
• If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter.
• Requests may be made at any stage of the application or interview process.
• Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation.
• Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation.
• All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements.
• Requesting an accommodation will not negatively affect your consideration for employment.
• Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process.
• Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired.
• If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process.