Senior Machine Learning Engineer

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Sonatafy Technology - Mexico

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Sonatafy Technology - Mexico is a nearshore software development firm that provides staff augmentation, fully managed software projects, rapid prototyping, and fractional CTO services. The company supplies pre-vetted full‑stack engineers and specialists in front-end, back-end, mobile, DevOps, QA, database management and UI/UX to help businesses accelerate product development, scale teams quickly, and reduce costs while maintaining time-zone alignment and strong English proficiency. Sonatafy serves startups and enterprise clients across industries such as healthcare, financial services/fintech, SaaS/IT and manufacturing.

📋 Description

• Design and build machine learning models from scratch using Decision Trees, K-Means, Neural Networks, and Random Forests • Deploy machine learning models manually using Python, ensuring scalability, reliability, and performance • Analyze IP addresses, locations, and user behavior to identify spam detection and trust/safety patterns • Perform feature engineering and selection to build effective machine-learning models • Set up and manage cloud infrastructure for model deployment without relying on managed services such as Amazon SageMaker • Independently innovate and experiment with solutions while owning complex problems • Support innovative U.S.-based teams as part of Sonatafy Technology’s nearshore software development services

🎯 Requirements

• Strong understanding of machine learning algorithms, statistics, feature engineering, and optimization • Hands-on experience building and deploying machine learning models using Python • Experience in trust and safety/spam detection and analyzing data for threat identification • Proficiency setting up and managing cloud infrastructure for model deployment • Independent problem-solving with a creative and experimental mindset • Working knowledge of Natural Language Processing (NLP) • Familiarity with LLM tooling, including prompt engineering, embeddings, and vector databases • Experience or proficiency with Scikit-Learn, TensorFlow, and PyTorch • Experience or proficiency with Pandas, NumPy, NLTK, and spaCy • Experience with AWS, Azure, or similar cloud platforms • Experience with Django or Flask for production machine-learning model APIs • Resume must be submitted in English

🏖️ Benefits

• Competitive compensation • Remote-first lifestyle • Career growth opportunities across industries and technologies