Remote Lead Machine Learning Engineer

Description:

• Lead Machine Learning Engineers at Thoughtworks develop end-to-end scalable machine learning systems and applications using modern architectures.
• They impact client, project, or service objectives and advocate for excellence in ways of working.
• The role involves navigating functional policies and applying proficiency to contribute to high-stakes projects.
• Leadership includes strategic thinking and collaboration to drive innovation and deliver solutions that exceed organizational goals.
• Responsibilities include leading the design of technical solutions, overseeing program inception, and shaping the development of new systems and applications.
• The position requires hands-on coding and influencing machine learning engineering initiatives to ensure impactful outcomes.
• Engineers will embrace a strategic mindset, aligning technical solutions with organizational goals and overseeing technical feasibility and resource allocation.
• They will leverage their understanding of modern architectures to develop scalable and maintainable ML systems.
• Translating client needs into impactful ML applications is essential, as is owning the development and maintenance of ML applications.
• Advocating for Responsible AI and a culture of excellence is a key part of the role, along with troubleshooting technical challenges.
• Staying updated with advancements in machine learning and fostering a collaborative environment through mentorship and guidance is crucial.
• Measuring and analyzing the impact of ML initiatives to ensure solutions deliver value to clients and the organization is also part of the job.

Requirements:

• Advanced English is required for this position.
• Experience with Prompt Engineering, AI Agent, Python, and LLM is necessary.
• Candidates must demonstrate experience in writing clean, maintainable, and testable code, with attention to refactoring and readability using Python or Shell.
• Experience with distributed systems and scalable architectures for large-scale ML applications is required.
• Candidates should have experience in building, deploying, and maintaining ML systems using techniques and platforms such as Scikit-learn, Tensorflow, MLFlow, Kubeflow, and Pytorch.
• Familiarity with MLOps principles and CI/CD in ML is essential.
• A background in machine learning engineering and data science, with knowledge of key ML concepts, algorithms, and frameworks, is necessary.
• Experience in designing and operating infrastructure for ML training and serving workloads, including on-premise and cloud infrastructure, is required.
• Hands-on experience with cloud services for building and deploying ML pipelines, such as Azure, AWS, GCP, or Databricks, is essential.
• Strong stakeholder management skills and the ability to liaise between clients and stakeholders are required.
• Candidates should be resilient in ambiguous situations and able to adapt their roles to approach challenges from multiple perspectives.
• A willingness to coach, mentor, and motivate others, along with a proven leadership track record, is necessary.
• Relationship building and cultivating strong partnerships are important skills for this role.

Benefits:

• Thoughtworks offers a dynamic and inclusive community that supports career development through interactive tools and numerous development programs.
• Employees are empowered in their career journeys, with a focus on helping each other grow.
• The company values continuous learning and encourages employees to bring their expertise to solve complex business problems.
• Thoughtworks promotes a culture of collaboration and innovation, allowing employees to influence their work environment positively.
• The organization has a strong commitment to diversity and inclusion, creating a supportive workplace for all employees.