Generative AI & Machine Learning Engineer Security Clearance

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!

As a Generative AI and Machine Learning Engineer, you will support product development efforts that range from generative AI and machine learning application development and deployment to model development and monitoring, ML management, and Dev Ops. You will be a contributing member of a Software Engineering team that supports production applications and also helps develop new features and models. 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.

• Experiment and Develop
  :
  Drive the end‑to‑end model development lifecycle, championing best practices to ensure reproducible research and well‑managed software delivery.
• Collaborate
  :
  Share information, value diverse ideas, partner effectively with colleagues across the globe, elevate and mentor teammates, and work closely with product teams to see work integrated and deployed into production environments.
• Deliver
  :
  Translate complex business problems into projects with clearly defined scope; deliver timely, well‑managed deliverables in a fast‑paced environment.
• Innovate
  :
  Try new approaches and learn new technologies; foster innovative ideas to solve real‑world challenges; iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
• Inspire
  :
  Proactively communicate and share work; articulate ideas to both technical and non‑technical audiences; lead the way in AI adoption across the enterprise.
• Solid Software Engineering Skills And Experience
  :
  Lead aspects such as ideation with product stakeholders, manage uncertainty and ambiguity, break down complex problems, formulate research and development plans, coordinate and communicate progress to varied stakeholders; provide hands‑on coding experience on AI/ML projects, designing, developing, and implementing machine learning models and algorithms.

• Master’s or Bachelor’s in a relevant discipline (relevant experience will be considered in lieu of a degree).
• Proficiency in Python.
• At least 3+ years of practical, relevant experience building AI/ML products and applications and recent demonstrable experience using Generative AI technologies such as RAG patterns, ReAct, Lang Chain for tasks like document summarization, knowledge graphs, information extraction, or analysis.
• Ability to obtain and maintain a U.S. national security clearance.
• U.S. Citizenship essential to comply with government contract/agency or department of Federal Government requirements.
• Experience developing libraries and APIs for others to use.
• Outstanding communication and data‑driven decision‑making collaboration with Product + Business Stakeholders.
• Diverse experiences across problem spaces, companies and cultures.

• 6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry.
• Experience with AI Agent frameworks and patterns.
• 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 fine tuning (PEFT, LoRA, Quantization).
• Experience with NLP/CV libraries such as PyTorch, Tensor Flow, Scikit‑learn, spaCy, Hugging Face Transformers/Diffusers, OpenAI, Lang Chain, Semantic Kernel & OpenCV.
• Experience using Cloud solutions (AWS, Azure, etc.) for building and deploying applications.
• Experience in a fast‑paced, agile environment managing uncertainty and ambiguity.
• Proficiency in Python and experience delivering minimum viable products in a large enterprise environment.