Mid Machine Learning Engineer
- Role
- AI / ML
- Experience
- Mid
Open to BO, CO, CR, PE only. Set where you work from to check your eligibility.
No BS summary
Mid Machine Learning Engineer with 2+ years building production ML models. Needs strong Python, SQL, AWS SageMaker or similar ML platform, model deployment/monitoring, Git, and production ML pipelines. Remote role for candidates in Costa Rica, Peru, Colombia, or Bolivia.
Core skills
Required skills
Optional skills
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.
What you'll do
- 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.
What they require
- 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: Experience in marketing, growth, experimentation, or causal inference.
- Preferred: Familiarity with Agile development practices.
- Preferred: Experience building scalable ML solutions in enterprise environments.
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.
What people say about this company
3.6/ 5