Senior Machine Learning Engineer

Remote

Live, first seen by us 76 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-Time
From the employer’s posting

What you’ll work on

Full posting

Design and build machine learning models from scratch
Deploy machine learning models using Python for scalability and reliability
Analyze user, IP and location data to spot spam and trust/safety threats
Set up and manage cloud infrastructure to host models without managed services
Perform feature engineering and selection for model building

From the employer’s posting

Design and build machine learning models from scratch

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.

Set up and manage cloud infrastructure to deploy machine learning models without relying on managed services such as Amazon SageMaker.

Perform feature engineering and selection to build effective machine-learning models.

What you’ll bring

All qualifications

Core experience

Hands-on experience building and deploying machine learning models in Python
Strong grasp of ML algorithms, statistics, feature engineering and optimization
Experience in trust and safety or spam detection
Proficiency setting up and managing cloud infrastructure for model deployment
Working knowledge of Natural Language Processing (NLP)

Qualification wording

Hands-on experience with building and deploying machine learning models using Python.

Strong understanding of machine learning algorithms, statistics, feature engineering, and optimization.

Experience in trust and safety/spam detection, analyzing data for threat identification.

Proficiency in setting up and managing cloud infrastructure for model deployment.

Working knowledge of Natural Language Processing (NLP).

Apply at Sonatafy Technology

Posting record

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Status in our records: Live
First seen by us: Aug 20, 202676 days ago
Recorded sightings: 39
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 76

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,296 similar postings that came down. Coming down is not always a hire.

Sonatafy Technology is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
AWS
Azure
SageMaker
Django
Flask
NumPy
PyTorch
scikit-learn
TensorFlow

Where the posting names them

- 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.

- 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.

- 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.

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

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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