Senior ML Systems Engineer - Remote (Colombia)

encora10; Stati Uniti; Remoto; USD 150.000 - 200.000; Tempo pieno

Descrizione del lavoro

encora10 is seeking a senior machine learning lead to design and operate production ML systems across data ingestion, feature engineering, deployment, monitoring, and ongoing improvement. You will work with product, engineering, and data teams to deliver scalable solutions in cloud environments.

The role emphasizes distributed data processing, experimentation, and technical leadership, with a focus on production-grade ML pipelines and cross-functional collaboration.

Competenze

• At least 5 years of industry experience building, deploying, and scaling machine learning systems.
• Bachelor’s or Master’s degree in computer science, machine learning, data science, or a related area, or equivalent practical experience.
• Strong Python, SQL, and PySpark skills for data processing.
• Hands-on experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost.
• Experience with production ML pipelines, cloud deployment, and the full model lifecycle from ingestion and training to evaluation, deployment, and monitoring.
• Practical experience with Docker, Kubernetes, and containerized ML workloads, plus the communication skills to influence cross-functional teams.

Mansioni

• Design scalable ML systems and end-to-end solutions for cloud environments, including training, batch inference, and real-time serving.
• Build and oversee data pipelines for very large datasets, maintaining their reliability and performance.
• Manage containerized workloads using Docker and Kubernetes.
• Lead experimentation, model validation, lifecycle management, and performance measurement using tools such as MLflow or Databricks.
• Improve models through monitoring, automated retraining, bias mitigation, and performance tuning.
• Evaluate emerging ML technologies, set engineering and documentation standards, and mentor engineers.

Conoscenze

Python

SQL

PySpark

Scikit-learn

TensorFlow

Formazione

Bachelor’s or Master’s in CS/ML/DS

Strumenti

Docker

Kubernetes

MLflow

Databricks

Kubeflow

Descrizione del lavoro

encora10 is seeking a senior machine learning lead to design and operate production ML systems across data ingestion, feature engineering, deployment, monitoring, and ongoing improvement. You will work with product, engineering, and data teams to deliver scalable solutions in cloud environments.

The role emphasizes distributed data processing, experimentation, and technical leadership, with a focus on production-grade ML pipelines and cross-functional collaboration.