Senior ML Engineer (Remote) - Scalable ML Pipelines

Encora Inc.; Bogotá ciudad; Remote; COP 120,000,000 - 180,000,000; Full time

Job summary

Coforge is seeking a Senior Machine Learning Engineer to design and deploy scalable ML systems in cloud environments. You will own end-to-end ML pipelines, from data ingestion and feature engineering to model deployment and monitoring.

Ideal candidates have 5+ years building production ML solutions with Python, PySpark, and major ML frameworks, plus experience with MLflow and Databricks. Remote role with cross-functional collaboration.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field.
• 5+ years of industry experience building, deploying, and scaling Machine Learning systems.
• Deep expertise in Python, SQL, and PySpark for distributed data processing.
• Hands-on experience with ML frameworks such as Scikit-learn, PyTorch, TensorFlow, and XGBoost.
• Proven experience designing and managing production ML pipelines using MLflow or similar tools.
• Experience deploying and operating ML solutions in cloud environments such as AWS, Azure, GCP, or Databricks.
• Strong understanding of end-to-end ML lifecycles, including data ingestion, training, evaluation, deployment, and monitoring.
• Hands-on experience with Docker, Kubernetes, and containerized ML workloads.
• Excellent communication skills and the ability to influence cross-functional teams.

Responsibilities

• Lead the design and implementation of scalable, production-grade Machine Learning systems in cloud environments.
• Architect and deliver end-to-end ML solutions, from data ingestion and feature engineering to deployment and monitoring.
• Design and manage containerized ML workloads using Docker and Kubernetes for model training, batch inference, and real-time serving.
• Oversee large-scale data pipelines processing multi-terabyte datasets and ensure reliability and performance.
• Lead experimentation strategies, including A/B testing, model validation, and lifecycle management using platforms such as MLflow and Databricks.
• Drive continuous model improvement through automated retraining, model monitoring, bias mitigation, and performance optimization.
• Evaluate and prototype emerging AI/ML technologies, frameworks, and architectures.
• Collaborate with Product, Engineering, Data, and Leadership teams to define and execute ML initiatives aligned with business goals.
• Establish engineering standards, code quality practices, and technical documentation.
• Mentor engineers and provide technical leadership across Machine Learning initiatives.

Skills

Machine Learning

Python

PySpark

Databricks

MLOps

Kubernetes

Education

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field

Tools

Docker

Kubernetes

MLflow

Databricks

Scikit-learn

PyTorch

TensorFlow

XGBoost

AWS

Azure

GCP

Job description

Coforge is seeking a Senior Machine Learning Engineer to design and deploy scalable ML systems in cloud environments. You will own end-to-end ML pipelines, from data ingestion and feature engineering to model deployment and monitoring.

Ideal candidates have 5+ years building production ML solutions with Python, PySpark, and major ML frameworks, plus experience with MLflow and Databricks. Remote role with cross-functional collaboration.