Data Scientist / Machine Learning Engineer
New
I
In All MediaTechnology & Design
Brazil / Colombia / Costa Rica / Argentina / Peru; Remote from LATAM, US Time Zones (Central Time); alignment with US business hours requiredContractMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Experience
- 2+ years of professional experience
- Required Skills
- PythonSQLApache AirflowGitMachine LearningMLFlowMLOps
Requirements
- 2+ years of professional experience building, deploying, monitoring, and maintaining production ML models in real-world environments.
- Strong Python programming skills.
- Advanced SQL capabilities.
- Experience utilizing AWS SageMaker or equivalent enterprise ML platforms (such as Google Vertex AI or Azure ML).
- Proficient with Git for version control.
- Demonstrated ability to work independently within production settings.
- Excellent English language communication skills for daily interaction and documentation.
Responsibilities
- Develop, deploy, and maintain production-grade Machine Learning (ML) models in cloud environments.
- Perform Exploratory Data Analysis (EDA) and design feature engineering pipelines.
- Build, maintain, and optimize data pipelines that feed and sustain ML models in production.
- Monitor model performance, health, and drift post-deployment to ensure continuous reliability.
- Partner with software engineering, data, and business stakeholders to translate business goals into scalable ML solutions.
- Contribute to Artificial Intelligence (AI) and Large Language Model (LLM) based capabilities.
View Full Description & ApplyYou'll be redirected to the employer's site
