Ingeniero de ML Senior para Sistemas Distribuidos (Remoto)

Placements24; Monterrey; Hybrid; MXN 2,233,000 - 3,350,000; Full time

Benefits offered by this job

Fully remote

Salary with performance bonuses

Professional growth opportunities

Job summary

Placements24 is seeking a Senior Machine Learning Engineer to design, build, and deploy ML models for large-scale distributed systems in a remote-first environment. You will tackle model training, inference at scale, and performance optimization.

The role requires strong Python proficiency, experience with TensorFlow or PyTorch, and hands-on MLOps. You will collaborate with researchers and software engineers on global R&D projects and mentor junior engineers.

Qualifications

• Master's or PhD in Computer Science, ML, or a related field.
• 5+ years of experience in machine learning engineering for distributed systems.
• Proficient in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms and containerization (Docker, Kubernetes).

Responsibilities

• Design, develop, and deploy ML models for large-scale distributed systems.
• Optimize ML algorithms for performance, scalability, and efficiency.
• Work with Spark, Ray, or Dask for training and inference.
• Build and maintain MLOps pipelines for CI/CD and monitoring.
• Collaborate with researchers and engineers to productionize models.
• Mentor junior engineers and share knowledge.

Skills

Distributed systems

Python

ML algorithms

Problem solving

Communication

Independent work

Education

Master's or PhD in CS/ML

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Apache Spark

Ray

Dask

Job description

Placements24 is seeking a Senior Machine Learning Engineer to design, build, and deploy ML models for large-scale distributed systems in a remote-first environment. You will tackle model training, inference at scale, and performance optimization.

The role requires strong Python proficiency, experience with TensorFlow or PyTorch, and hands-on MLOps. You will collaborate with researchers and software engineers on global R&D projects and mentor junior engineers.