Senior Machine Learning Engineer - AI Innovations

Placements24; Johannesburg; Híbrido; ZAR 950.000 - 1.700.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

Retirement plan

Wellness program

Professional development (conferences)

Descripción de la vacante

Placements24 in Johannesburg is seeking a Senior Machine Learning Engineer to design, build and deploy advanced AI solutions. You will own end-to-end ML lifecycles, work with large datasets, and collaborate with data scientists and product teams.

The role emphasizes production experience, cloud and big data tools, mentoring juniors, and delivering scalable models with real-time inference. Hybrid work arrangement balances office collaboration with remote flexibility in Gauteng.

Formación

• Master's or PhD in CS/AI or related quantitative field.
• 5+ years of production ML experience.
• Proficient in Python, R or Scala and ML libraries.
• Experience with cloud platforms and big data tech.

Responsabilidades

• Design, develop, and implement advanced ML models and algorithms.
• Lead end-to-end ML lifecycle from data prep to deployment.
• Collaborate with data scientists, software engineers, and product managers.
• Stay updated on ML/deep learning advances and apply new techniques.
• Optimize models for performance, scalability, and real-time inference.
• Mentor junior engineers and drive technical excellence.

Conocimientos

Python

R

Scala

ML lifecycle

Problem solving

Educación

Master's in CS/AI

PhD in related field

Herramientas

TensorFlow

PyTorch

Scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Descripción del empleo

About the Role

Our client is at the forefront of AI and Emerging Technologies , seeking a highly skilled Senior Machine Learning Engineer to join their dynamic team in Johannesburg . This role is pivotal in driving the development of cutting-edge artificial intelligence solutions that will redefine industry standards. You will be instrumental in conceptualizing, building, and deploying sophisticated machine learning models. This position offers a unique opportunity to work with massive datasets, leverage state-of-the-art tools, and collaborate with a world-class team dedicated to pushing the boundaries of AI, contributing directly to innovative projects that have a significant market impact within the vibrant tech ecosystem of Gauteng .

Key Responsibilities

• Design, develop, and implement advanced machine learning models and algorithms for diverse applications.
• Lead the end-to-end ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment.
• Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into existing products and services.
• Stay abreast of the latest advancements in machine learning , deep learning, and AI research , applying novel techniques to solve complex business problems.
• Optimize ML models for performance, scalability, and real-time inference in production environments.
• Mentor junior engineers and contribute to a culture of technical excellence and innovation.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
• Proven experience (5+ years) in designing, building, and deploying machine learning systems in production.
• Strong proficiency in programming languages such as Python, R, or Scala, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of statistical modeling, data mining , and various ML algorithms (e.g., classification, regression, clustering, deep neural networks).
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
• Excellent problem-solving skills and the ability to translate complex technical concepts into actionable insights.

Benefits

• Competitive annual salary and performance-based bonuses.
• Comprehensive health, retirement, and wellness benefits package.
• Opportunities for professional development, including conferences and training.
• Hybrid work model balancing office collaboration and remote flexibility in Johannesburg .
• Access to advanced computing resources and cutting-edge AI technologies.