Mid Machine Learning Engineer
Encora Bolivia
IT Services and IT Consulting · 5,001-10,000 employees
About the role
Build, deploy, and maintain production-grade machine learning models and pipelines using Python and cloud platforms. Monitor model performance and collaborate with cross-functional teams to deliver scalable, data-driven solutions.
What they look for
Requirements
Requires 2+ years of experience in building and maintaining production machine learning models. Candidates must have strong Python and SQL skills, along with hands-on experience in AWS SageMaker or similar enterprise ML platforms.
Full 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.
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