Senior Machine Learning Engineer

Important Information

Location: Brazil
Job Mode: Full-time
Work Mode: Work from home

Job Summary

As a Senior Machine Learning Engineer, 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.

Essential Skills

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience;
• 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 the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

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