
Thoughtworks · Toronto
Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use thei...
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 knowledge to impact the achievement of client, project or
service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of
functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes
projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive
innovation and deliver solutions that meet and exceed organizational goals.
As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a
program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the
trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful
outcomes for the broader objectives of the company.
solutions with broader organizational goals.
reality, overseeing technical feasibility and resource allocation.
systems, ensuring optimal performance and efficiency.
within complex, high-stakes projects.
monitoring and evaluation.
of excellence and continuous improvement.
and guide the team towards successful resolutions.
technologies and advancements to ensure Thoughtworks remains a leader in innovation.
guidance, empowering individual growth and knowledge sharing.
tangible value to clients and the organization.
the code using Python.
Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
CI/CD to ML.
frameworks, and understand ML model lifecycles.
workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
and/or Databricks and associated ML managed services.
throughout projects, ensuring buy-in and gaining trust along the way.
accountability for their work.
bring new opportunities to our business.
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we
also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools,
numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that
extends to empowering our employees in their career journeys.
At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications,
scheduling interviews and writing job descriptions.
Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all
selection decisions are made exclusively by our interviewers and hiring managers.
We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and
implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance
process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.
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.
As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive
for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the
recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be
significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change
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.
#LI-Remote
Benefits: https://www.thoughtworks.com/en-ca/careers/benefits
Salary
See here our AI policy.
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ENGINEERING MANAGER, AI CONVERSATION PLATFORM WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. ABOUT THE TEAM The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. WHAT YOU’LL DO RESPONSIBILITIES * Driving an ambitious vision for AI/ML that benefits our users * Setting the technical & process direction for the team based on business goals * Brainstorm and coordinate product integrations with partner teams * Proposing new ideas and building prototypes * Be an integral part of a larger ML community internally & externally * Hire & develop a world-class team to deliver high-quality ML systems. * Coach engineers to help them grow in their careers and maintain a high bar WHO YOU ARE We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. MINIMUM REQUIREMENTS * Have at least 4 years of experience managing ML teams * Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. * Lead by example in high-growth, high-impact, ambiguous environments * Have experience building & shipping ML systems. * Hold yourself and others to a high bar when working with production systems. * Thrive in a collaborative cross-functional environment PREFERRED QUALIFICATIONS * Experience in shipping LLM & RAG systems
Are you looking to thrive in a stimulating work environment? Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow. ABOUT THE ROLE We are seeking AI Developer /Prompt Engineer to contribute to major projects. The AI Developer lead the design, development, and deployment of advanced AI-enabled solutions in enterprise and cloud environments. This role combines strong software engineering discipline with deep hands-on experience in machine learning, generative AI, and modern AI development platforms. The role will be remote. WHY JOIN LEVIO? * Work on complex, high impact digital transformation projects * Collaborate with experienced, multidisciplinary teams * Continuously develop your technical and professional expertise * Enjoy flexibility, autonomy, and a strong people first culture * Be part of an organization that values diversity, inclusion, and innovation ROLE AND RESPONSIBILITIES * Architect, develop, and deploy production-grade AI and generative AI solutions aligned with business outcomes * Lead implementation of NLP, LLM-based applications, predictive models, and intelligent agents * Build and integrate AI services using AWS Bedrock and AWS SageMaker * Apply AI-assisted development practices using GitHub Copilot and Claude Code * Design APIs, microservices, and event-driven integrations * Establish best practices for model lifecycle management, monitoring, security, and cost optimization * Provide technical leadership, code reviews, and mentoring * Ensure AI solutions meet security, privacy, and responsible AI standards QUALIFICATIONS AND EXPERIENCE * Bachelor’s or Master’s degree in Computer Science, Engineering, or related field * 6+ years software development experience, including 3+ years delivering AI solutions * Expert proficiency in Python and strong backend development experience * Hands-on experience with TensorFlow, PyTorch, or scikit-learn * Proven experience with AWS SageMaker and AWS Bedrock * Familiarity with GitHub Copilot and Claude Code * Strong cloud-native and microservices architecture experience PREFERRED QUALIFICATIONS * Experience with LLM-based and agentic systems * Knowledge of MLOps and AI governance * Experience with vector databases and RAGarchitectures * Consulting or client-facing delivery experience COMPENSATION (ONTARIO) The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate. Estimated salary range: $100,000 to $140,000 per year. This posting is a current hiring need. BENEFITS AND WORK ENVIRONMENT Levio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including: * 4 weeks of cumulative vacation starting from day one * Flexible working hours * Professional Development Allowance (PDA) for training, computer equipment, and physical activities * Training tailored to your areas of expertise * Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary * Modular group insurance plan * Public transportation or parking reimbursement when required * Referral bonuses * 11 statutory holidays * Personal days * An active social life (5to7 events, social club, healthy snacks, coffee, and more) Position Details * Employment type: Full time, permanent Notice on the Use of Artificial Intelligence in Recruitment We use AI enabled tools to help sort and review applications based on job related criteria. Final decisions regarding candidate progression are always made by a human recruiter. Employment Equity Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities. We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participating in all aspects of the selection process.