Delivery:

　　Architect, design, and implement scalable and reliable ML infrastructure for model training, testing, and deployment.

　　Collaborate with DevOps teams to integrate ML infrastructure seamlessly into the existing production environment.

　　Establish and manage the deployment pipeline for ML models into production systems.

　　Monitor real-time model performance and data quality, promptly addressing any issues.

　　Develop and maintain monitoring and alerting systems to ensure the continuous availability of ML models.

　　Implement CI/CD pipelines to automate model training, evaluation, and deployment processes.

　　Continuously improve and optimize ML workflows to increase efficiency and reduce manual intervention.

　　Collaborate with engineers to understand ML model requirements and design needs.

　　Communicate effectively with stakeholders to explain technical concepts and solutions clearly and concisely.

　　Led and mentored a team of ML Ops Engineers, providing technical guidance and fostering a culture of collaboration and innovation.

　　Conduct regular code reviews and ensure adherence to best practices for ML Ops.

　　Ensure ML systems adhere to security and compliance standards, implementing necessary measures to safeguard data and models.

　　About You:

　　You're a fit for the role if your background includes:

　　Two or more years of experience applying AI to practical and comprehensive technology solutions.

　　Have built ML Ops pipelines

　　Experience in deploying and managing applications in the Public Cloud (e.g., AWS, GCP)

　　Experience with ML Ops, Deep learning, TensorFlow, Python, NLP

　　Experience with Triton, TensorRT, and ONNX

　　Experience building real-time interactive applications, such as chat or messaging platforms

　　Experience leveraging AWS SageMaker for hosting ML models

　　Experience in REST API development, NoSQL database design, and RDBMS design and optimizations

　　Knowledge of frameworks such as Keras, PyTorch, TensorFlow

　　Knowledge of techniques to tune open-source LLMs and improve inference speeds while maintaining accuracy

　　Knowledge and hands-on experience with the Hugging Face Transformers library

　　Familiarity with MLOps-related tools like MLflow, Kubeflow, or Airflow.

　　Knowledge of essential algorithms, object-oriented and functional design principles, and best-practice patterns

　　Proficient in using Git, Python, and Linux Based Systems

　　Experience with Docker and Kubernetes

　　Strong problem-solving skills and ability to work independently and collaboratively within a team

　　Experience in program leadership, governance, and change enablement

　　Leadership

　　Leads significant projects, programs, and business initiatives, demonstrating creativity and ingenuity.

　　Determines work priorities based on general direction from managers.

　　Shows a passion for efficiency and collaboration, with a history of establishing excellent relationships.

　　Shows commitment and drive for quality, technical excellence, and results.

　　Leads significant projects, programs, and business initiatives, demonstrating creativity and ingenuity.

　　Shows a passion for efficiency and collaboration, with a history of establishing excellent relationships.

　　Shows commitment and drive for quality, technical excellence, and results.

　　Be a people manager as needed.

　　Qualifications:

　　Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

　　Certifications in machine learning, DevOps, and cloud computing

　　At least 6+ years of software development experience building and deploying APIs and Web applications

　　At least 2+ years of hands-on experience building, maintaining, and deploying ML models and pipelines

　　What's in it For You?

　　You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

　　Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected

　　Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

　　Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

　　Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

　　Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

　　Purpose Driven Work: We have a superpower that we've never talked about with as much pride as we should - we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

　　#LI-KP1

　　Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we've been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world's most global news services - Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

　　We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

　　Accessibility

　　As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

　　We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

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　　More information about Thomson Reuters can be found on https://thomsonreuters.com.