Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.

As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.

Job responsibilities

You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security
You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications
You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks
You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape
You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers
You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives
You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements

Job qualifications

Technical Skills

You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code
You are proficient in scripting languages such as Python or Shell for automation and task streamlining
You have knowledge of 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 or Databricks and associated ML managed services

Professional Skills

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

Other things to know

Learning & Development

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.

Travel

While we’ve traditionally been a traveling consultancy, we have adopted a hybrid working model with the majority of work being completed remotely from either home or local Thoughtworks offices. However, business travel to client locations should be expected when required by Thoughtworks or our clients’ needs.

Company Policies

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

About Thoughtworks

Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.

Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.

See here our AI policy.

About ThoughtWorks

Key Highlights

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Senior Machine Learning Engineer

Skills & Technologies

Job Description