Machine Learning Engineer | Contract | Remote, MX

About us: Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients.

Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.

The Role: We’re looking for a hands-on Machine Learning Engineer in Mexico to join our team building an AI-powered risk intelligence platform. The platform helps enterprises detect, assess, and respond to emerging online threats, including disinformation, reputational attacks, and security risks.

You’ll design, build, and deploy NLP and LLM-based models that process large volumes of data from mainstream and niche online sources. You’ll collaborate daily with US-based engineers and product stakeholders as an individual contributor.

Key Responsibilities

Design, train, and deploy ML models for text classification, entity extraction, clustering, and narrative and topic detection Build and improve LLM-powered features, including prompt design, retrieval-augmented generation (RAG), and agentic workflows Develop embedding and semantic-search pipelines to group related content and surface emerging threats Productionize models as scalable, monitored services with clear latency, cost, and accuracy targets Build evaluation frameworks and datasets to measure model quality, bias, and drift over time Work with data engineering to improve ingestion, labeling, and feature pipelines for high-volume, noisy, multilingual text data Monitor and retrain models in production, and debug quality issues end to end Join daily standups and technical discussions with the US-based client team Requirements: 4