Lead Applied Research Engineer, AI and ML

1 month ago


Bengaluru, Karnataka, India Thomson Reuters Full time
About the Role

Thomson Reuters Labs is seeking a highly skilled Lead Applied Research Engineer to join our team in Bangalore. As a key member of our research team, you will be responsible for leading the development of innovative AI and ML solutions that drive business transformation.

Key Responsibilities
  • Provide technical leadership and direction to the research team, collaborating with engineers to develop and improve methodology and evolve the technology stack.
  • Develop and deliver high-quality software solutions, applying modern software development practices and ensuring timely delivery.
  • Build scalable ML solutions, creating large-scale data processing pipelines to help researchers build and train novel machine learning algorithms.
  • Work collaboratively with cross-functional teams, sharing information and valuing diverse ideas to drive innovation.
  • Stay up-to-date with emerging technologies and contribute innovative ideas to drive business growth.
  • Effectively communicate technical ideas and collaborate with team members to deliver end-to-end solutions.
About You

We are looking for a highly skilled and experienced researcher with a strong background in AI and ML. The ideal candidate will have:

  • A Bachelor of Science degree in Computer Science or a related field.
  • At least 10 years of software engineering experience, preferably in machine learning and natural language processing.
  • Experience leading technical workstreams within a software engineering organization.
  • Strong expertise in Python software development stacks and ecosystems, with experience in other programming languages and ecosystems a plus.
  • Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure.
  • Strong understanding of probabilistic models and mathematical concepts underlying machine learning methods.
  • Experience integrating Machine Learning solutions into production-grade software, with a sound understanding of ModelOps and MLOps principles.
  • Familiarity with Natural Language Processing (NLP) problems and key tasks such as Named Entity Recognition (NER), Information Extraction, and Information Retrieval.
What's in it for You?

As a member of our team, you will enjoy a range of benefits, including:

  • A hybrid work model, with flexible working arrangements and a seamless experience that is digitally and physically connected.
  • Comprehensive benefit plans, including flexible vacation, mental health days off, and work-from-anywhere options.
  • A globally recognized and award-winning reputation for equality, diversity, and inclusion, flexibility, work-life balance, and more.
  • Access to LinkedIn Learning, internal Talent Marketplace, and Ten Thousand Coffees Thomson Reuters café networking.
  • Two paid volunteer days annually and opportunities to participate in Environmental, Social, and Governance (ESG) initiatives.
  • A purpose-driven work environment, where you will be part of a team helping to create a more transparent, just, and inclusive future.

We are committed to creating a diverse and inclusive workplace, where everyone has the opportunity to contribute and grow professionally. If you are passionate about AI and ML, and want to be part of a team that is shaping the future of knowledge professionals, we encourage you to apply.



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