Principal Machine Learning Engineer

Thoughtworks is a leading technology consultancy that is transforming the tech landscape through impactful work. They are seeking a Principal Machine Learning Engineer to develop scalable machine learning systems and applications, contribute to strategic initiatives, and lead technical solutions to meet organizational goals.

Responsibilities:

• 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
• As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement
• You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions
• You 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 innovation
• You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing
• You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization

Requirements:

• 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 with distributed systems and scalable architectures to handle large-scale ML applications
• 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 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