Are you passionate about the chance to bring your data quality improvement experience to a world class organization that is leading the way in both content and technology to serve and protect our citizens home and abroad? Do you have the skills necessary to manage, understand, and analyze inhouse and customer data including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities? Then Thomson Reuters Special Services (TRSS) is looking for you!

What You'll Do: As a Senior Applied Machine Learning Scientist, you will be responsible for supporting Data Science Engineering efforts that range from generative AI and machine learning application development and deployment to model development and monitoring, ML management and DevOps. You will be a contributing member of a Data Science team that supports client-facing contracts, internal and external Research and Development efforts, and internal data analytics, governance, quality, and capabilities development.
The role will interface with internal and external stakeholders and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer.
As a Senior Applied Machine Learning Scientist, you will:
Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery.
Collaborate:Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates.
Deliver:With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.
Innovate:You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
Inspire:You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.
About you
Basic qualifications
PhD in a relevant discipline or Master's or Bachelor's with a comparable level of experience
Proficiency in Python
At least 5+ years practical, relevant experience building AI/ML products and applications (7+ years for Master's or 10+ years for Bachelor's)
Solid software engineering and / or data engineering skills for prototyping
Experience as a technical leader, leading aspects of the following:aiding in the ideation with product stakeholders
comfort in dealing with uncertainty and ambiguity in problem statements and paths to success
breaking down complex problems into tractable components with iterative improvements
formulating research and development plans
coordinating and guiding the work of others
communication of progress and plans with varied stakeholders

Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms.
Preferred qualifications
6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry
Have familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling.
Familiarity with LLM training and efficient finetuning(PEFT, LoRA, Quantization)
Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV
Experience in using Cloud solutions (AWS, Azure, etc.) for building and deploying data science solutions
Demonstrated ability to translate cutting edge research into working prototypes and at-scale products
Experience in a fast-paced, agile environments managing uncertainty and ambiguity
Proficiency in Python and experience delivering minimum viable products in a large enterprise environment
Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders
Diverse experiences across problem spaces, companies and cultures
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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.

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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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