Ml Engineer

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.

**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.

**Inte