Lead Machine Learning Engineer

Summary

Join Thoughtworks as a Lead Machine Learning Engineer and lead the design and development of scalable, end-to-end machine learning systems. You will play a pivotal role in program inception, shaping new systems and applications from concept to deployment. Leverage your expertise in modern architectures to build maintainable ML systems and translate client needs into impactful applications. As a key influencer, champion Responsible AI and foster a collaborative environment, mentoring your team and driving continuous improvement. Measure and analyze the impact of ML initiatives, ensuring solutions deliver tangible value. Thoughtworks offers a supportive culture with opportunities for professional development.

Requirements

• Have advanced/fluent English
• Have GenAI experience
• Have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs
• Be able to design and execute cross-functional requirements based on business priorities
• Have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python or Shell
• Have experience with distributed systems and scalable architectures to handle large-scale ML applications
• Have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
• Have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML
• Have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles
• 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
• 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
• 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
• Be resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
• Not shy away from risks or conflicts, instead take them on and skillfully manage them
• Be eager to coach, mentor and motivate others and aspire to influence teammates to take positive action and accountability for their work
• Enjoy influencing others and always advocate for technical excellence while being open to change when needed
• Be a proven leader with a track record of encouraging teammates in their professional development and relationships
• Understand the importance of relationship building and how it can bring new opportunities to our business

Responsibilities

• Embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals
• 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
• Leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency
• Translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects
• Own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
• As a key influencer, champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement
• Navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions
• 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
• Foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing
• Measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization

Preferred Qualifications

Have GCP cloud and MongoDB experience

Benefits

• 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
• #LI-Remote