Mid Machine Learning Engineer positions focus on delivering results in their domain. This page aggregates open Mid Machine Learning Engineer roles and what employers typically expect.
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.