Lead Machine Learning Engineer

THOUGHTWORKS PTE. LTD.; Singapore; Sur place; SGD 180 000 - 240 000; Plein temps

Résumé du poste

Thoughtworks leads AI initiatives in Singapore by shaping strategy and delivering end-to-end ML systems for complex client projects. You will mentor teams, drive scalable deployment, and advocate Responsible AI practices while staying at the forefront of evolving ML technologies to sustain Thoughtworks’ leadership in innovation.

This leadership role requires cross-functional collaboration with clients and internal stakeholders to align technical solutions with business goals and measurable value.

Qualifications

• Experience in developing a technical vision and strategy for ML initiatives.
• Experience designing and executing cross-functional requirements based on business priorities.
• Hands-on coding with Python or Shell.
• Experience with distributed systems and scalable architectures for large-scale ML applications.
• Experience with ML platforms (Scikit-learn, TensorFlow, MLFlow, Kubeflow, PyTorch).
• Experience with ML deployment, MLOps, CI/CD for ML.

Responsabilités

• Embrace a strategic mindset, contributing to the direction of ML initiatives and aligning technical solutions with broader organizational goals.
• Shape the development of new ML systems from idea to reality, overseeing feasibility and resource allocation.
• Lead development of scalable and maintainable ML systems for optimal performance.
• Translate client needs into feasible ML applications and drive solution design and deployment.
• Own the development and maintenance of ML applications, including pipelines, training, deployment, monitoring and evaluation.
• Champion Responsible AI and effective ways of working within the team.
• Navigate technical challenges with proficiency and guide the team to successful resolutions.
• Stay at the forefront of ML, adopting new technologies to keep Thoughtworks innovative.
• Foster a collaborative environment with hands-on coding, mentorship and knowledge sharing.
• Measure and analyze the impact of ML initiatives to deliver tangible value.

Connaissances

Python

Shell

Distributed systems

Scikit-learn

TensorFlow

MLFlow

Kubeflow

PyTorch

MLOps

CI/CD for ML

Infrastructure as Code

Azure

AWS

GCP

Databricks

ML lifecycle

Data science

Outils

Azure

Description du poste

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.

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