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Senior Machine Learning Engineer
Sonatafy Technology - MexicoSenior Machine Learning Engineer building Python machine-learning models for spam detection and trust-and-safety analysis. Supporting Sonatafy’s nearshore software development clients across Latin America.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying machine learning models using Python, with a strong focus on feature engineering, cloud infrastructure management, and trust/safety analysis. Proficient in utilizing various machine learning frameworks and tools to innovate and solve complex problems independently.
Highest-signal resume keywords
Machine Learning Model DevelopmentCloud Infrastructure ManagementPython ProgrammingFeature EngineeringTrust and Safety Analysis
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning AlgorithmsFeature EngineeringOptimizationNatural Language Processing (NLP)Scikit-LearnTensorFlowPyTorchPandasNumPyDjango
Soft Skills
Independent Problem-SolvingCreative MindsetExperimental Approach
Tools & Technologies
AWSAzureFlaskVector DatabasesPrompt Engineering
Industry Keywords
Spam DetectionTrust/Safety PatternsData AnalysisUser Behavior AnalysisCloud Deployment
Tech Stack
Tools & technologiesAWSAzureCloudDjangoFlaskNumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Competitive compensation
- Remote-first lifestyle
- Career growth opportunities across industries and technologies