Lead Machine Learning Engineer

Thoughtworks is a leading technology consultancy that focuses on solving complex business problems through impactful work. The Lead Machine Learning Engineer will develop scalable machine learning systems and applications, overseeing program inception and aligning technical solutions with organizational goals while fostering a collaborative environment.

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 in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python or Shell
• You have experience with 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
• 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