Senior Machine Learning Engineer

The role is for a Senior Machine Learning Engineer responsible for designing, deploying, and managing machine learning systems and pipelines, with a focus on cloud-based environments and distributed data processing.

Location: Bolivia

Responsibilities

• Design, deploy, and scale machine learning systems and end-to-end ML pipelines in production environments.
• Build and optimize distributed data processing workflows using Python, SQL, and PySpark.
• Manage the complete ML lifecycle, including data ingestion, training, evaluation, deployment, monitoring, and model optimization.
• Collaborate with cross-functional teams to deliver scalable ML solutions and improve model performance in cloud-based environments.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience).
• 5+ years of industry experience as an ML Engineer with a focus on deploying and scaling ML systems.
• Strong expertise in Python, SQL, and PySpark for distributed data processing.
• Experience with machine learning frameworks such as scikit-learn, TensorFlow, XGBoost, and PyTorch.
• Proven experience designing and managing ML pipelines using tools like MLflow or equivalent.
• Hands-on experience deploying models in cloud environments such as AWS, GCP, Azure, or Databricks.
• Experience managing end-to-end ML lifecycles at scale, including deployment and monitoring.
• Experience deploying and managing containerized ML workloads using Kubernetes.
• Strong communication skills and the ability to collaborate across technical and business teams.
• Experience working in fast-paced, high-impact environments with multiple priorities.