Lead Machine Learning Engineer

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.Job responsibilitiesYou will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goalsYou 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 allocationYou will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiencyYou will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projectsYou will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluationAs a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvementYou will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutionsYou will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovationYou will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharingYou will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organizationJob qualificationsTechnical SkillsYou must have GenAI experience; GCP cloud and MongoDB experience is a nice to haveYou have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needsYou can design and execute cross-functional requirements based on business prioritiesYou have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python or ShellYou have experience with distributed systems and scalable architectures to handle large-scale ML applicationsYou have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, PytorchYou have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to MLYou have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecyclesYou 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 servicesProfessional SkillsYou 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 wayYou are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectivesYou don't shy away from risks or conflicts, instead you take them on and skillfully manage themYou are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their workYou enjoy influencing others and always advocate for technical excellence while being open to change when neededYou are a proven leader with a track record of encouraging teammates in their professional development and relationshipsCultivating strong partnerships comes naturally to you; you understand the importance of relationship building and how it can bring new opportunities to our businessOther things to knowLearning & DevelopmentThere 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.About ThoughtworksThoughtworks 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.
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