Remote Senior ML Engineer: Scale Production ML & MLOps

Placements24; LegKraal Gate; Hybrid; ZAR 2,133,000 - 2,953,000; Full time

Benefits offered by this job

Salary + bonuses

Stock options

Health, dental, vision insurance

Remote work flexibility

Professional development budget

Job summary

Placements24 is seeking a Senior Machine Learning Engineer to join a fully remote engineering team. You will design, build, and deploy scalable ML systems and pipelines that power AI-driven products. Work closely with data scientists and software engineers to productionize models and implement CI/CD and monitoring.

The role emphasizes strong software engineering practices, deep ML knowledge, and mentoring of junior engineers in a globally distributed team.

Qualifications

• Bachelor's or Master's degree in CS, SE, or related quantitative field.
• Minimum of 5 years of professional software engineering with ML focus.
• Proven experience deploying production ML models and pipelines.
• Strong programming in Python, Java, or Scala.
• Deep knowledge of ML frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps tools.
• Experience with cloud platforms (AWS, Azure, GCP) and Docker/Kubernetes.
• Solid understanding of data structures, algorithms, and software design.
• Experience with distributed systems and Spark.
• Excellent problem-solving and collaboration in remote teams.

Responsibilities

• Design, implement, and maintain scalable ML systems and infrastructure.
• Develop and optimize ML pipelines for data preprocessing, feature engineering, model training, and deployment.
• Collaborate with data scientists to deploy and integrate ML models into production environments.
• Implement MLOps best practices, including CI/CD and model monitoring.
• Build robust data pipelines for ingestion, transformation, and storage.
• Optimize ML model performance for speed, scalability, and efficiency.
• Write high-quality, maintainable, and well-documented code.
• Troubleshoot and resolve issues in production ML systems.
• Stay up-to-date with ML, MLOps, and cloud advancements.
• Contribute to architectural decisions and technology roadmap for ML infrastructure.
• Mentor junior engineers and contribute to team growth.

Skills

Python

Java

Scala

ML frameworks

MLOps concepts

Distributed systems

Problem-solving

Communication

Education

BSc/MS in CS or related field

Tools

TensorFlow

PyTorch

scikit-learn

MLflow

Kubeflow

AWS

Azure

GCP

Docker

Kubernetes

Spark

Job description

Placements24 is seeking a Senior Machine Learning Engineer to join a fully remote engineering team. You will design, build, and deploy scalable ML systems and pipelines that power AI-driven products. Work closely with data scientists and software engineers to productionize models and implement CI/CD and monitoring.

The role emphasizes strong software engineering practices, deep ML knowledge, and mentoring of junior engineers in a globally distributed team.