
Sr Machine Learning Engineer
- Machine Learning
- Python
- Natural Language Processing
- scikit-learn
- TensorFlow
- PyTorch
- Pandas
- NumPy
- NLTK
- spaCy
- AWS
- Azure
- Django
- Flask
THIS OPENING IS AVAILABLE FOR CANDIDATES IN LATIN AMERICA, NOT LIMITED TO ONLY COLOMBIA.
Sonatafy Technology, headquartered in Scottsdale, Arizona, is an award-winning nearshore software development company with a strong reputation. They have a dedicated in-house team of engineers, offering end-to-end software solutions and supporting client development staff augmentation. Catering to companies of all sizes and industries, including some of the world's largest brands, Sonatafy Technology is a trusted provider of nearshore enterprise-level cloud and mobile application software development services.
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Responsibilities
- Design and build machine learning models from scratch using algorithms such as Decision Trees, K-Means, Neural Networks, and Random Forests.
- Deploy machine learning models manually using Python, ensuring scalability, reliability, and performance.
- Analyze data points such as IP addresses, locations, and user behavior to identify patterns related to spam detection and trust/safety.
- Perform feature engineering and selection to build effective machine-learning models.
- Set up and manage cloud infrastructure to deploy machine learning models without relying on managed services such as Amazon SageMaker.
- Innovate and experiment with solutions independently, taking ownership of complex problems without constant supervision.
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Skills and Qualifications
- Strong understanding of machine learning algorithms, statistics, feature engineering, and optimization.
- Hands-on experience with building and deploying machine learning models using Python.
- Experience in trust and safety/spam detection, analyzing data for threat identification.
- Proficiency in setting up and managing cloud infrastructure for model deployment.
- Independent problem-solver with a creative and experimental mindset.
- Working knowledge of Natural Language Processing (NLP).
- Familiarity with LLM tooling — prompt engineering, embeddings, and vector databases, among others.
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Technical Tools:
- Machine Learning Libraries:Scikit-Learn, TensorFlow, PyTorch.
- Data Manipulation:Pandas, NumPy, NLTK, spaCy.
- Cloud Infrastructure:AWS and/or Azure, or similar cloud platforms.
- Web Frameworks for API Deployment:Django or Flask for building APIs to serve machine learning models in production.
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Why Work with Sonatafy?
At Sonatafy, you'll join a community of highly skilled engineers across Latin America supporting innovative U.S.-based teams. You’ll be part of a fast-moving, client-first culture where your code has real-world impact. We offer competitive compensation, a remote-first lifestyle, and career growth opportunities across industries and technologies.
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If you have reached this point and feel you are our ideal candidate, it’s time for you to apply! To apply, please submit your resume in English.
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Recruitment Scam Notice:
Sonatafy recruitment communications will only come from @sonatafy.com email addresses. We do not request fees, sensitive financial information, or conduct hiring solely through online forms without interviews. If you receive a suspicious message, contact us at careers@sonatafy.com.
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Official Job Posting Notice: All legitimate Sonatafy job openings are published exclusively on our official LinkedIn page and our careers website at sonatafy.com/careers. If you found this or any other Sonatafy job posting on a third-party platform, job board, or any other external site, please be aware that those listings are not authorized or monitored by us and are very likely a scam. Do not share personal information, pay any fees, or proceed with any process initiated through unofficial channels. When in doubt, visit our official careers page or reach out directly at careers@sonatafy.com.
Sr Machine Learning Engineer · Sonatafy Technology