- Location
- Bolivia; Colombia; Costa Rica; Peru
- Department
- CSA Billable
- Seniority
- Mid
- Experience
- 2+ years
- Source
- Greenhouse
Description
Job Title: Mid Machine Learning Engineer
Key Skills: Python, Machine Learning, AWS SageMaker, SQL, ML Pipelines, Model Deployment, Model Monitoring, Git, MLOps
Experience: +2 years of experience.
Location: Costa Rica, Peru, Colombia, Bolivia.
Work Mode: Remote.
At Coforge, we are hiring Mid Machine Learning Engineer (#22519) with the following skill set.
Key Responsibilities
• Build, deploy, and maintain production-grade machine learning models and pipelines.
• Develop scalable ML solutions using Python and cloud-based machine learning platforms such as AWS SageMaker.
• Monitor model performance and troubleshoot production ML environments to ensure reliability and scalability.
• Collaborate with cross-functional teams to deliver data-driven solutions in an Agile environment.
Required Skills & Qualifications
• 2+ years of experience building and maintaining production machine learning models.
• Strong Python programming skills.
• Hands-on experience with AWS SageMaker or another enterprise ML platform such as Vertex AI or Azure ML.
• Proven experience deploying and monitoring ML models in production environments.
• Advanced SQL skills.
• Experience with Git and version control.
• Experience working independently in production environments.
• Strong understanding of production ML pipelines and deployment best practices.
• Strong communication and collaboration skills.
Preferred Skills
• Experience with MLOps tools such as MLflow, Airflow, or dbt.
• Experience with Snowflake.
• Experience in marketing, growth, experimentation, or causal inference.
• Experience with LLMs or AI agents.
• Familiarity with Agile development practices.
• Experience building scalable ML solutions in enterprise environments.
Posted On: 12-08-2026
At Coforge, we hire professionals solely based on their skills and qualifications, and we do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
