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! About the Role
As a Generative AI and Machine Learning Engineer, you will be responsible for supporting product development 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 Software Engineering team that supports production applications and also helping to 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. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer. As a Generative AI and Machine Learning Engineer, 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. You will work closely with product teams to see your work integrated and deployed into production environments.
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
You're a good fit for the role of Generative AI & Machine Learning Engineer if you have: 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 practical, relevant experience building AI/ML products and applications and recent demonstratable experience using Generative AI technologies such as RAG patterns, ReAct, LangChain etc for performing document summarization, knowledge graphs, information extraction, or analysis.
Solid software engineering skills and experience
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 working with others, communication of progress and plans with varied stakeholders
Hands on coding experience on AI/ML projects in current role and experience in designing, developing, and implementing machine learning models and algorithms
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 The following skills and tools are preferred, but not required 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 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 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
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
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