Senior ML Engineer — Spam Detection & Cloud Deployment

Sonatafy Technology, Inc.; Colombia; On-site; COP 180,000,000 - 240,000,000; Full time

Job summary

Sonatafy Technology, Inc. is seeking an experienced ML Engineer to design and deploy scalable ML models for LATAM-based candidates. You will analyze patterns in user behavior for trust and safety, engineer features, and build end-to-end solutions using Python.

Responsibilities include deploying models manually, setting up cloud infrastructure without SageMaker, and owning complex problems with minimal supervision. Strong ML fundamentals and cloud deployment skills are essential.

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.

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

ML algorithms

Python ML deployment

Trust & safety

Cloud deployment

Job description

Sonatafy Technology, Inc. is seeking an experienced ML Engineer to design and deploy scalable ML models for LATAM-based candidates. You will analyze patterns in user behavior for trust and safety, engineer features, and build end-to-end solutions using Python.

Responsibilities include deploying models manually, setting up cloud infrastructure without SageMaker, and owning complex problems with minimal supervision. Strong ML fundamentals and cloud deployment skills are essential.