Python Lead Research Engineer

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Do you love creating innovative solutions for customers?

We are seeking a passionate Lead Research Engineer who will bring expertise in AI and ML and is interested in building data‑driven capabilities that drive transformation. As a member of Thomson Reuters Labs you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.

In this opportunity as a Lead Research Engineer, you will:

• Be a Leader:
  Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.
• Develop and Deliver:
  Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high‑quality solutions.
• Build Scalable ML Solutions:
  Create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. Develop high performing scalable systems in the context of large online delivery environments.
• Be a Team Player:
  Working in a collaborative team‑oriented environment, share information, value diverse ideas, partner with cross‑functional and remote teams.
• Be an Agile Person:
  With a strong sense of urgency and a desire to work in a fast‑paced, dynamic environment, deliver timely solutions.
• Be Innovative:
  Empowered to try new approaches and learn new technologies, contribute innovative ideas, create solutions, and be accountable for end‑to‑end deliveries.
• Be an Effective Communicator:
  Through dynamic engagement and communication with cross‑functional partners and team members, effectively articulate ideas and collaborate on technical developments.

You are a fit for the Lead Research Engineer role if your background includes:

• A Bachelor's Degree in Computer Science or Related Field.
• At least 8 years software engineering experience, of which at least 2 years working on a Machine Learning related product or solution.
• Experience leading technical work streams within a software engineering organization.
• Skilled and have a deep understanding of Python software development stacks and ecosystems; experience with other programming languages and ecosystems is ideal.
• Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
• Familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit‑learn.
• Take pride in writing clean, reusable, maintainable and well‑tested code.
• Demonstrate proficiency in automation, system monitoring, and cloud‑native applications, with familiarity in AWS or Azure (or a related cloud platform).
• Proficient in system analysis and design; consider Dev Ops and automation as fundamental pillars of your work.
• Have a desire to learn and embrace new and emerging technology.
• Can demonstrate adaptability and thrive in a dynamic environment, successfully managing and delivering high‑quality results when faced with fluid requirements.
• Familiar with probabilistic models and understand the mathematical concepts underlying machine learning methods.
• Experience leading and/or mentoring teams.
• Providing guidance around roadblocks for team.
• Experience providing updates to internal stakeholders.

• Experience integrating Machine Learning solutions into production‑grade software with a sound understanding of Model Ops and MLOps principles.
• Previous exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval.
• Hands‑on experience in other programming and scripting languages (Java, Type Script, JavaScript, etc.).

• Hybrid Work Model:
  Flexible hybrid working environment (2‑3 days a week in the office depending on the role) 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…