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

其他信息
语言要求：英语、普通话
行业要求：全部行业
所属部门：Data&AI Service Line