Mexico, Remote
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.
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.



Develop embedding and semantic‐search pipelines to group related content and surface emerging threats
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
4+ years of professional experience building and deploying machine learning models in production
~ Strong Python skills and hands‐on experience with PyTorch, TensorFlow, or Hugging Face Transformers
~ Practical NLP experience, such as classification, named entity recognition (NER), topic modeling, or semantic similarity on real‐world text data
~ Hands‐on experience building with LLMs (OpenAI, Anthropic, or open‐source models), including prompt engineering and RAG
~ Experience deploying and operating ML services on AWS, GCP, or Azure, using Docker and CI/CD
~ Solid gr

📌 Machine Learning Engineer | Contract | Remote, MX (Ciudad de México)
🏢 Tech Holding
📍 Ciudad de México