About the Role
Lead Machine Learning Engineers at Thoughtworks utilize modern architectures to develop comprehensive, scalable machine learning systems and applications. They leverage their specialized expertise to influence client, project, or service objectives and champion best practices to promote and deliver excellence. Operating within functional policy frameworks, they adeptly navigate complex challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical skills, encompassing strategic thinking and effective collaboration to foster innovation and deliver solutions that consistently meet and exceed organizational goals.
As a lead machine learning engineer on projects, you will guide the design of technical solutions or oversee a program inception to build new systems and/or applications. Beyond hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a crucial role in advancing the field and ensuring impactful outcomes for the company's broader objectives.
Job 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.
Job Qualifications
Technical Skills
- Experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs.
- Ability to design and execute cross-functional requirements based on business priorities.
- Experience in writing clean, maintainable, and testable code, demonstrating attention to refactoring and readability of the code using Python.
- Experience with distributed systems and scalable architectures to handle large-scale ML applications.
- Experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
- Experience with building, deploying, and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
- Experience in machine learning engineering and data science, familiar with key ML concepts, algorithms, and frameworks, and understanding ML model lifecycles.
- 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.
- Hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP and/or Databricks and associated ML managed services.
Professional Skills
- Understanding of the importance of stakeholder management and the ability to easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust.
- Resilient in ambiguous situations and adaptable in role to approach challenges from multiple perspectives.
- Comfortable with risks or conflicts, taking them on and skillfully managing them.
- Eager to coach, mentor, and motivate others, aspiring to influence teammates to take positive action and accountability for their work.
- Enjoys influencing others and always advocates for technical excellence while being open to change when needed.
- A proven leader with a track record of encouraging teammates in their professional development and relationships.
- Cultivating strong partnerships comes naturally, understanding the importance of relationship building and how it can bring new opportunities to the business.