Senior Machine Learning Engineer

Encora10; Colombia; Remote; COP 120,000,000 - 210,000,000; Full time

Job summary

Coforge is hiring a Senior Machine Learning Engineer in Colombia, remote. You will lead the design and deployment of scalable ML systems in cloud environments, using Python, PySpark, Databricks, MLOps, and Kubernetes. You will architect end-to-end ML solutions and mentor engineering teams.

The role requires 5+ years of experience, strong data processing skills, and extensive ML tooling. Collaboration across product, engineering, and data teams is essential to drive business goals.

Qualifications

• 5+ years of industry experience building, deploying, and scaling ML 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 (AWS, Azure, GCP, or Databricks).

Responsibilities

• Lead design and implementation of scalable, production‑grade ML systems in cloud environments.
• Architect and deliver end-to-end ML solutions from data ingestion to deployment and monitoring.
• Design and manage containerized ML workloads using Docker and Kubernetes for training and serving.
• Oversee large-scale data pipelines handling multi-terabyte datasets for reliability and performance.
• Drive ML experimentation, model validation, and lifecycle management with MLflow and Databricks.
• Implement automated retraining, monitoring, bias mitigation, and performance optimization.
• Evaluate emerging AI/ML technologies and collaborate with product, engineering, data, and leadership teams.

Skills

Machine Learning

Python

PySpark

Databricks

MLOps

Kubernetes

Education

Bachelor's or Master's in CS/DS or related field

Tools

MLflow

Databricks

Docker

Kubernetes

Scikit-learn

PyTorch

TensorFlow

XGBoost

Job description

Job Title: Senior Machine Learning Engineer Key Skills: Machine Learning, Python, PySpark, Databricks, MLOps, Kubernetes Experience: 5+ YOE. Location: Colombia Mode: Remote. We at Coforge are hiring Senior Machine Learning Engineer (#15311-1-5) with the following skill set.

Key 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.

Required Skills & Qualifications

• 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 building, deploying, and scaling Machine Learning systems.
• Deep expertise in Python, SQL, and PySpark for distributed data processing.
• Hands-on experience with machine learning 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.

Preferred Skills

• Experience working with healthcare datasets, including claims, eligibility, pharmacy, or EHR data.
• Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, Machine Learning, or a related field.
• Strong understanding of MLOps practices, including CI/CD for Machine Learning, model versioning, and automated retraining.
• Experience with deep learning techniques for time series forecasting, sequential data, or hierarchical modeling.
• Experience designing model evaluation frameworks, experimentation protocols, and performance metrics.
• Familiarity with Kubernetes-native ML platforms such as Kubeflow, KServe, or Airflow on Kubernetes.
• Experience working in fast-paced, high-growth environments with multiple concurrent priorities.

At Coforge, 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.