1 Opening MEX, Mexico City ### **Role description** **ML Engineer** **Lead I \- Data Science** **Who We Are:** Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human\-centered solutions for a better world. UST is a mission\-driven group of 29,000\+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live. With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world. Visit us at UST.com. **You Are:** Seeking a skilled and forward\-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R\&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls. **The opportunity:** * Contribute to the design, training, fine\-tuning, and deployment of ML/LLM models for production. * Implement RAG pipelines using vector databases. * Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi\-agent workflows. * Data \& Infrastructure * Collaborate with Data Engineering to build and maintain real\-time and batch data pipelines that serve ML/LLM workloads. * Research \& Applied Innovation * Explore and evaluate emerging LLM/SLM architectures and agent orchestration patterns. * Experiment with generative AI and multimodal models to extend capabilities beyond text (images, structured financial data). * Collaboration \& Delivery * Work cross\-functionally with R\&D, Data Science, Product, and Engineering to deliver business\-aligned AI features. * Participate in design reviews, architecture discussions, and model evaluations. * Document processes, experiments, and results effectively for knowledge sharing. * Mentor junior engineers and contribute to ML engineering best practices. This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. **What you need****:** * Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. * 3\+ years of experience building and deploying ML systems. * Proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit\-Learn, Hugging Face Transformers. * Hands\-on experience with LLMs/SLMs (fine\-tuning, prompt design, inference optimization). * Demonstrated experience with at least two of the following ecosystems: OpenAI GPT models (chat, assistants, fine\-tuning). * Anthropic Claude (safety\-first AI for reasoning and summarization). * Google Gemini (multimodal reasoning, enterprise\-scale APIs). * Meta LLaMA (open\-source, fine\-tuned models). * Familiarity with vector databases, embeddings, and RAG pipelines. * Ability to work with structured and unstructured data at scale. * Knowledge of SQL and distributed data frameworks (Spark, Ray). * Strong understanding of ML lifecycle: data prep, training, evaluation, deployment, monitoring. * Preferred Qualifications * Experience with agentic frameworks (LangChain, LangGraph, MCP, AutoGen). * Knowledge of AI safety, guardrails, and explainability techniques. * Hands\-on experience deploying ML/LLM solutions in cloud environments (AWS, GCP, Azure). * Experience with CI/CD for ML (MLOps), monitoring, and observability. * Familiarity with anomaly detection, fraud/risk modeling, or behavioral analytics. * Contributions to open\-source AI/ML projects or publications in applied ML research. **Benefits** Employees receive mandatory and non\-mandatory benefits such as fourteen (14\) days of vacation beginning on the date of hire, vacation premium, ten (10\) paid holidays, a Christmas Bonus of thirty (30\) days’ pay, Monthly Food Vouchers, Saving Fund, and health insurance. Certain employees may be eligible for additional Company benefits beginning on the date of hire, including dental, disability and life insurance plans; four (4\) days of personal time off per year, up to three (3\) days of paid medical leave per year, and up to three (3\) days of paid bereavement leave per year. **What we believe:** We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people\-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions. **Humility:** We will listen, learn, be empathetic and help selflessly in our interactions with everyone. **Humanity:** Through business, we will better the lives of those less fortunate than ourselves. **Integrity:** We honor our commitments and act with responsibility in all our relationships. **An Equal Opportunity Workplace, Free of Discrimination and Harassment** At UST, we strive to provide a work environment free of discrimination and harassment. We are an equal opportunity employer and employment decisions are based on merit and business needs. Our Human Rights Policy further illustrates our stand on this. We are committed to following fair employment practices that provide equal opportunities to all employees. We do not discriminate or allow harassment on the basis of race, color, religion, disability, gender, national origin, sexual orientation, gender identity, gender expression, age, genetic information, military status, or any other legally protected status. At UST, we value diversity and believe that a diverse workplace builds a competitive advantage. **Un lugar de trabajo con igualdad de oportunidades y libre de discriminación y acoso** En UST, nos esforzamos por proporcionar un ambiente de trabajo libre de discriminación y acoso. Somos un empleador que ofrece igualdad de oportunidades y basa las decisiones de empleo en los méritos y las necesidades del negocio. Estamos comprometidos a seguir prácticas de empleo justas que brinden igualdad de oportunidades a todos los empleados. No discriminamos ni permitimos el acoso por motivos de raza, color, religión, discapacidad, género, origen nacional, orientación sexual, identidad de género, expresión de género, edad, información genética, estado militar o cualquier otro estado legalmente protegido. En UST, valoramos la diversidad y creemos que un lugar de trabajo diverso construye una ventaja competitiva. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. \#UST \#LI\-Remote ### **Skills** Machine Learning,Data Engineering,Data Modelling,Big Data Analytics ### **About UST** UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future\-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.