AIML Engineering Manager

Thomson Reuters


Job Location:

Bengaluru - India

Monthly Salary: Not Disclosed
Posted on: 2 hours ago
Vacancies: 1 Vacancy

Job Summary

Reuters Technology builds and runs the systems behind one of the worlds largest and most trusted news organisations. Among them is a specialist machine-learning platform that screens and classifies media production since 2019 running every day and now moving quickly from classical machine-learning models toward large-language-model and generative-AI pipelines on AWS.

First and foremost were looking for an outstanding AI/ML engineer to take technical ownership of this platform. Youll spend most of your time in the models and the code - designing building evaluating and shipping - and youll set the technical direction for where the platform goes next.

Its also a role with scope to lead. Youll be the anchor for a small team and youll be the technical point of contact for the platforms stakeholders including a US-based partner Thomson Reuters business. Wed equally welcome a senior or staff engineer ready to grow into that and an engineering lead who has stayed genuinely close to the code.

About the Role :

Build and own the platform (hands-on) the core of the role

  • Take end-to-end technical ownership of our media-screening platform both its classical ML models and its newer LLM/GenAI pipelines running in production on AWS.
  • Spend most of your time hands-on: design build evaluate and ship models and the services around them.
  • Drive the migration from classical ML toward LLM and generative-AI approaches deciding pragmatically where modern techniques earn their place and where proven models should stay.
  • Own reliability cost quality and MLOps discipline for a system that runs in production every day.

Set direction and lead

  • Set the technical direction standards and roadmap for the platform and make the calls on architecture and approach.
  • Be accountable for delivery planning prioritisation and keeping a daily-production system healthy.

Represent and partner

  • Be the technical point of contact for the platforms stakeholders including a US-based partner Thomson Reuters business build trust and manage expectations.
  • Partner with product editorial and other technology teams to surface and shape high-value use cases.

Explore and expand

  • Identify and prototype new applications of ML/AI across Reuters turning a single-purpose platform into reusable capability.

About You:

This role is likely a strong match if you recognise yourself in most of the points below. Above all we want a genuinely strong AI/ML engineer.

  • Substantial currently hands-on experience building and shipping ML/AI systems in production: you have written the code and trained and evaluated the models yourself and still do. (Typically gained over 5 years in ML / softML/softwareware engineering.)
  • Recent hands-on AWS experience (e.g. SageMaker Lambda S3 ECS/EKS) and infrastructure-as-code.
  • Strong Python and a solid grounding in both classical ML and modern LLM/GenAI techniques (fine-tuning prompting evaluation retrieval).
  • Sound MLOps instincts: reproducible training deployment monitoring and cost and quality management.
  • The judgement to know when to reach for an LLM and when a simpler model wins.
  • Confidence working with stakeholders across geographies and organisational boundaries including representing the platform to a US-based partner business.
  • Excellent communication: able to explain complex technical trade-offs to technical and non-technical audiences alike.
  • Experience with content media NLP or large-scale classification problems.
  • A track record of modernising or migrating legacy ML systems to LLM/GenAI.
  • Familiarity with Terraform and AWS CDK.
  • Experience building or hiring a team or managing stakeholders across time zones.

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Whats in it For You

  • Hybrid Work Model: Weve 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.

  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities whether caring for family giving back to the community or finding time to refresh and reset. This builds upon our flexible work arrangements including work from anywhere for up to 8 weeks per year empowering employees to achieve a better work-life balance.

  • Career Development and Growth: By fostering a culture of continuous learning and skill development we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow lead and thrive in an AI-enabled future.

  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation two company-wide Mental Health Days off access to the Headspace app retirement savings tuition reimbursement employee incentive programs and resources for mental physical and financial wellbeing.

  • Culture: Globally recognized award-winning reputation for inclusion and belonging flexibility work-life balance and more. We live by our values: Obsess over our Customers Compete to Win Challenge (Y)our Thinking Act Fast / Learn Fast and Stronger Together.

  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental Social and Governance (ESG) initiatives.

  • Making a Real-World Impact:We are one of the few companies globally 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.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal tax accounting compliance government and media. Our products combine highly specialized software and insights to empower professionals with the data intelligence and solutions needed to make informed decisions and to help institutions in their pursuit of justice truth and transparency. Reuters part of Thomson Reuters is a world leading provider of trusted journalism and news.

We are powered by the talents of 26000 employees across more than 70 countries where everyone has a chance to contribute and grow professionally in flexible work environments. 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.

As a global business we rely on the unique backgrounds perspectives and experiences of all employees to deliver on our business 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 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. More information on requesting an accommodation here.

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More information about Thomson Reuters can be found on .


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Manager

Reuters Technology builds and runs the systems behind one of the worlds largest and most trusted news organisations. Among them is a specialist machine-learning platform that screens and classifies media production since 2019 running every day and now moving quickly from classical machine-learning ...

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