Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Designing, developing, and maintaining scalable ML models and pipelines with an accent on the full ML lifecycle and high-quality software solutions. Focus on deploying and scaling ML systems, optimizing data processing workflows with PySpark, and implementing MLOps practices.

Location: Hybrid in Peru

Company

Global provider of software and digital engineering solutions specializing in Cloud Services, AI, and Cybersecurity.

What you will do

• 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 like PySpark.
• Deploy and monitor ML models in cloud environments ensuring performance, reliability, and scalability.
• Collaborate with cross-functional teams to translate business problems into data-driven solutions.
• Lead technical projects and mentor junior engineers.

Requirements

• Bachelor’s or Master’s degree in Computer Science, ML, Data Science, or a related field.
• 5+ years of 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 scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Experience designing end-to-end ML pipelines using MLflow or similar tools.
• Experience with cloud platforms (AWS, GCP, Azure, or Databricks) and Kubernetes.
• Strong understanding of MLOps practices including CI/CD and model versioning.

Culture & Benefits

• Inclusive hiring environment based solely on skills without discrimination.
• Opportunity to work in a global company with diverse digital engineering practices.
• Collaborative environment focused on continuous improvement of software development practices.