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Sr Machine Learning Engineer

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Apply at Sonatafytechnology

What you’ll work on

Full posting
  • Design and build machine learning models from scratch using algorithms such as Decision Trees, K-Means, Neural Networks, and Random Forests.

  • 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.

From the employer’s posting
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.
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.
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.

Tools in this posting

  • Python
  • Azure
  • Flask
  • NumPy
  • TensorFlow
  • AWS
  • SageMaker
  • scikit-learn
  • PyTorch
  • Django
Source — Tool mentions in context
- 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.
- 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.
- 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.
- 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. Why Work with Sonatafy?
- Machine Learning Libraries:Scikit-Learn, TensorFlow, PyTorch. - Data Manipulation:Pandas, NumPy, NLTK, spaCy. - Cloud Infrastructure:AWS and/or Azure, or similar cloud platforms.
Technical Tools: - Machine Learning Libraries:Scikit-Learn, TensorFlow, PyTorch. - Data Manipulation:Pandas, NumPy, NLTK, spaCy.
- 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.

Job description

View original posting ↗

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.

 

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.

 

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.

 

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.

 

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.

 

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.

 

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.

 

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.

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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. 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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Status in our records
Active
First seen by us
Aug 20, 2026
Recorded sightings
15
Last seen by us
Oct 9, 2026

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