Senior ML Engineer - Fully Remote AI Innovator

Placements24; Sandton; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Job summary

Placements24 is hiring a Senior Machine Learning Engineer for a fully remote team. You will design, train, and deploy advanced ML models, collaborating with data scientists and engineers to integrate models into production.

The role emphasizes MLOps, scalable data pipelines, and staying at the cutting edge of AI research. Requirements include a Master’s/PhD in a quantitative field and 5+ years of ML experience, with strong Python skills and proficiency in TensorFlow, PyTorch, and Scikit-learn.

Qualifications

• Master's or PhD in CS, AI, ML, Statistics or related field.
• 5+ years of experience in machine learning engineering or a similar role.
• Proven track record of designing, building, and deploying ML models into production.
• Strong programming skills in Python and experience with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.

Responsibilities

• Design, develop, train, and deploy sophisticated machine learning models and algorithms.
• Collaborate with data scientists and software engineers to integrate ML models into production systems.
• Optimize ML models for performance, scalability, and efficiency in production environments.
• Develop and maintain robust data pipelines for ML model training and inference.
• Implement and manage MLOps practices, including model monitoring, versioning, and deployment automation.
• Conduct research on state-of-the-art ML techniques and apply them to solve business problems.
• Evaluate and benchmark different ML models and approaches.
• Write clean, efficient, and well-documented code in Python.

Skills

Python programming

Communication

Education

Master's or PhD in Computer Science/AI/ML/Statistics

Tools

TensorFlow

PyTorch

Scikit-learn

MLflow

Spark

Docker

Job description

Placements24 is hiring a Senior Machine Learning Engineer for a fully remote team. You will design, train, and deploy advanced ML models, collaborating with data scientists and engineers to integrate models into production.

The role emphasizes MLOps, scalable data pipelines, and staying at the cutting edge of AI research. Requirements include a Master’s/PhD in a quantitative field and 5+ years of ML experience, with strong Python skills and proficiency in TensorFlow, PyTorch, and Scikit-learn.