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Senior Machine Learning Engineer

Encora10

Costa Rica (Latin America) Remote permanent

Posted: April 17, 2026

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Quick Summary

As a Senior Machine Learning Engineer, you will lead technical projects and mentor junior engineers, focusing on software development practices to deliver robust and reliable software systems with a strong emphasis on scalability and efficiency.

Job Description

Important Information

Location: Costa Rica

Work Mode: Hybrid

Job Summary

As a Senior Machine Learning Engineer (20529), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems. 

Responsibilities and Duties

• Design, build, and deploy scalable machine learning models and pipelines across the full ML lifecycle

• Develop and optimize data processing workflows using Python, SQL, and distributed frameworks such as PySpark

• Deploy and monitor machine learning models in cloud environments, ensuring performance, reliability, and scalability

• Collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance

Qualifications and Skills

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience

• 5+ years of experience as a Machine Learning Engineer with a focus on deploying and scaling ML systems

• Strong proficiency in Python, SQL, and PySpark for large-scale data processing

• Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost

• Experience designing and managing end-to-end ML pipelines using tools such as MLflow or similar

• Experience deploying models in cloud platforms such as AWS, GCP, Azure, or Databricks

• Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining

• Experience working with containerized environments and Kubernetes for ML workloads

• Ability to design evaluation metrics and validate model performance effectively

• Strong communication and collaboration skills to work with cross-functional teams and stakeholders

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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