Encora

Mid Machine Learning Engineer

Encora Bolivia

IT Services and IT Consulting · 5,001-10,000 employees

6 h ago
Remote machine-learning Mid (2-5 yrs) Full-time Bolivia
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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

Python Machine Learning AWS SageMaker SQL ML Pipelines Model Deployment Model Monitoring Git MLOps Airflow MLflow Dbt Snowflake LLMs AI Agents Agile

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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