Senior Machine Learning Engineer

Placements24; Soweto; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Fully remote

Stock options

Health insurance

Learning budget

Job summary

Placements24 is seeking a Senior Machine Learning Engineer to join a fully remote AI research team. You will design, train, and deploy robust ML models and data pipelines, collaborating with data scientists and software engineers to scale ML in production.

The role emphasizes MLOps, experimentation, and staying current with deep learning advancements, while contributing to the company's AI roadmap and strategic vision.

Qualifications

• Master's or PhD in Computer Science, ML, Statistics, or related field.
• 5+ years of professional ML engineering experience.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras).
• Experience with data preprocessing, feature engineering, and model evaluation.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow).

Responsibilities

• Design, develop, and implement ML models and algorithms for various applications.
• Build and maintain scalable ML pipelines for data processing, model training, and deployment.
• Collaborate with data scientists and software engineers to integrate ML models into production systems.
• Optimize model performance, efficiency, and scalability.
• Conduct thorough model evaluation, validation, and A/B testing.
• Implement MLOps practices for CI/CD of ML models.
• Research and stay updated with ML/deep learning advancements.
• Troubleshoot and debug complex issues in ML systems.
• Contribute to the company's AI strategy and roadmap.
• Document models, experiments, and deployment processes.

Skills

ML engineering

Python

Statistical modeling

Education

Master's or PhD in CS/ML/Statistics

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

AWS

Azure

GCP

Job description

About the Role

Our client, an innovative AI research lab focused on developing cutting-edge predictive analytics solutions, is seeking a Senior Machine Learning Engineer to join their fully remote team. This role is pivotal in designing, building, and deploying robust machine learning models and systems that drive significant business impact. You will work on challenging problems, from data preprocessing and feature engineering to model training, evaluation, and deployment at scale. The ideal candidate possesses a deep understanding of various machine learning algorithms, strong programming skills, and experience with MLOps practices. We foster an environment of continuous learning, scientific rigor, and collaborative innovation, encouraging exploration and pushing the boundaries of what's possible with AI. Join us and contribute to groundbreaking advancements in machine learning from anywhere.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms for various applications.
• Build and maintain scalable ML pipelines for data processing, model training, and deployment.
• Collaborate with data scientists and software engineers to integrate ML models into production systems.
• Optimize model performance, efficiency, and scalability.
• Conduct thorough model evaluation, validation, and A/B testing.
• Implement MLOps best practices for version control, continuous integration, and continuous deployment of ML models.
• Research and stay updated with the latest advancements in machine learning and deep learning.
• Troubleshoot and debug complex issues in ML systems.
• Contribute to the development of the company's AI strategy and roadmap.
• Document models, experiments, and deployment processes.

Requirements

• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• 5+ years of professional experience in machine learning engineering or a related role.
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Familiarity with MLOps tools and workflows (e.g., MLflow, Kubeflow, Docker).
• Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem‑solving, analytical, and communication skills.
• Ability to work independently and effectively in a remote team environment.

Benefits

• Fully remote position offering significant flexibility and work-life balance.
• Opportunity to work on challenging and impactful AI projects.
• Competitive salary and stock options.
• Access to continuous learning, training, and conference attendance.
• Collaborative and intellectually stimulating remote work environment.
• Contribute to a company at the forefront of AI innovation.
• Comprehensive health, dental, and vision insurance.