Lead Machine Learning Engineer

Thoughtworks; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Opportunities for personal development

Collaborative working environment

Supportive learning culture

Job summary

Thoughtworks in Singapore is seeking a Lead Machine Learning Engineer to spearhead the technical direction of ML initiatives. The role involves not just development, but a strategic approach to leverage machine learning for impactful outcomes.

You will blend hands-on coding with leadership, guiding teams through complex projects and fostering an environment of innovation and excellence.

As part of Thoughtworks' unique culture, you'll have opportunities for personal growth and the chance to influence the field of machine learning.

Qualifications

• Experience developing a technical vision aligned with business needs.
• Expertise in writing clean, testable code with Python or Shell.
• Strong knowledge of scalable architectures for ML applications.

Responsibilities

• Lead machine learning initiatives aligning with organizational goals.
• Oversee technical feasibility and resource allocation for projects.
• Develop and maintain scalable and maintainable ML systems.
• Translate client needs into impactful ML applications.
• Champion Responsible AI within the team.

Skills

Technical vision and strategy

Cross-functional requirement design

Clean and maintainable code (Python, Shell)

Distributed systems experience

ML system deployment and maintenance

MLOps principles and CI/CD

Machine learning concepts and algorithms

Infrastructure for ML workloads

Cloud services for ML pipelines (Azure, AWS, GCP)

Job description

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.

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 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

Job qualifications

Technical Skills

• 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

Professional Skills

• 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

Other things to know

Learning & Development

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.

About Thoughtworks

Thoughtworks 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. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.