Remote Machine Learning Engineer

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work

Health benefits

Learning & development

Job summary

Placements24 is seeking a fully remote Machine Learning Engineer for a cutting-edge AI company delivering industrial solutions worldwide. You will design, develop, and deploy production ML models for predictive maintenance, anomaly detection, and process optimization.

You will preprocess large datasets, experiment with TensorFlow and PyTorch, collaborate with data engineers and software developers, and mentor junior teammates. A Master’s or PhD and 5+ years of experience are required.

Qualifications

• Master's or PhD in a quantitative field.
• 5+ years of professional ML/DS experience.
• Production-level ML model development and deployment.
• Experience with cloud platforms and MLOps is highly desirable.

Responsibilities

• Design, develop, and implement ML models for industrial applications.
• Collect, clean, and preprocess large datasets for training.
• Utilize deep learning frameworks and traditional ML algorithms.
• Evaluate and deploy models into production environments.
• Collaborate with data engineers and software developers.

Skills

Python programming

Machine learning

Remote collaboration

Education

Master's or PhD in Computer Science / Data Science / Statistics

Tools

TensorFlow

PyTorch

Scikit-learn

NumPy

Pandas

Job description

About the Role

Our client, a cutting-edge technology firm specializing in AI-driven solutions for industrial applications, is seeking an exceptional Remote Machine Learning Engineer. This position offers the unique opportunity to design, develop, and deploy advanced machine learning models that solve complex real-world problems for manufacturing clients globally. You will work as part of a distributed, high-caliber team, leveraging your expertise in data science, statistical modeling, and deep learning frameworks to build intelligent systems. This role is fully remote, allowing you to contribute from anywhere, focusing on innovation and impact within the exciting field of artificial intelligence and its application in manufacturing. This is a chance to shape the future of industrial processes through advanced AI, working with state-of-the-art tools and methodologies, without the need to be in **Randburg, Gauteng**.

Key Responsibilities

• Design, develop, and implement machine learning models for various industrial applications, including predictive maintenance, anomaly detection, and process optimization.
• Collect, clean, and preprocess large datasets for model training and evaluation.
• Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) and traditional ML algorithms.
• Evaluate model performance, conduct hyperparameter tuning, and deploy models into production environments.
• Collaborate with data engineers and software developers to integrate ML solutions into existing systems.
• Stay abreast of the latest research and advancements in machine learning and artificial intelligence.
• Communicate complex technical findings and insights to both technical and non-technical stakeholders remotely.
• Develop and maintain robust code for ML pipelines and experiments.
• Contribute to the company's intellectual property through research and development.
• Mentor junior team members on machine learning best practices.

Requirements

• A Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
• Minimum of 5 years of professional experience in machine learning engineering or data science.
• Proven experience in developing and deploying production-level ML models.
• Strong proficiency in Python and relevant ML libraries (e.g., Scikit-learn, Pandas, NumPy).
• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of statistical modeling, algorithms, and data structures.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, effective in a remote work setting.
• Ability to work independently and manage project timelines effectively.

Benefits

This fully remote position offers an exceptional salary, comprehensive health benefits, and opportunities for continuous learning and professional growth. Our client fosters a culture of innovation and provides access to advanced tools and technologies. Join a world-class team pushing the boundaries of AI in industry.