Data Engineer - AI enablement

We are seeking an innovative and proactive Data Engineer - AI Enablement to join our team, focusing on AI enablement and data infrastructure development. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support AI and machine learning initiatives across the organization.
 

About the Role:
In this opportunity as Data Engineer - AI enablement You will:

• Design and develop robust data pipelines and architectures to support AI and machine learning enablement initiatives.
• Collaborate with data scientists and analysts to understand AI model requirements and optimize ETL data workflows.
• Ensure data quality, integrity, and availability for AI applications by performing regular audits and validations.
• Conduct data exploration and analysis to identify opportunities for AI-driven solutions and improvements.
• Implement data security measures and ensure compliance with relevant data protection regulations.
• Collaborate with IT and DevOps teams to integrate AI models into production environments seamlessly.
• Develop and maintain documentation for data engineering processes and AI model integrations.
• Create and maintain dashboards and reports to track AI model performance and data pipeline efficiency.
• Stay informed about emerging technologies and trends in data engineering and AI, applying relevant advancements to ongoing projects.
• Contribute to the design and implementation of data governance frameworks to support AI and machine learning projects.

About you:
You are fit for the role of Data Engineer - AI enablement If your background includes:

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
• Proven experience as a Data Engineer or in a similar role, with a focus on supporting AI and machine learning projects, with 4-6 years of experience.
• Proficiency in programming languages such as Python (Pandas, NumPy, Requests, TensorFlow, Flask or FastAPI) and SQL, and experience with data processing framework.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services.
• Experience with version control systems, such as Git, and continuous integration/continuous deployment (CI/CD) pipelines.
• Strong understanding of data pipeline design, ETL processes, and data architecture.
• Familiarity with MLOps practices and tools for model deployment and monitoring.
• Excellent analytical, problem-solving, and organizational skills.
• Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Knowledge of data security measures and compliance with data protection regulations is a plus.
• Familiarity with containerization tools like Docker and orchestration tools like Kubernetes is advantageous.
  #LI-SS6

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 (2-3 days a week in the office depending on the role) 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: Ten 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.

  
  

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 26,000 employees across more than 70 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.

Protect yourself from fraudulent job postings click here to know more.

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