Machine Learning Engineer at Bluferry Consulting (Pty) Ltd

Job Description

• We are seeking a talented Machine Learning Engineer to design, develop and deploy scalable Machine Learning models and algorithms that drive business value. The ideal candidate will have a strong background in Mathematics, Statistics, and Computer Science, as well as experience in building end-to-end Machine Learning systems. The candidate will collaborate closely with Data Scientists, AI Developers, and Software Engineers to design, develop, test, and deploy Machine Learning models in a production environment.

Key Responsibilities:

• Develop, test, and deploy Machine Learning models and algorithms that solve complex business problems.
• Collaborate with Data Scientists, AI Developers, and Software Engineers to design, develop, and deploy end-to-end Machine Learning systems.
• Build scalable and efficient Machine Learning pipelines using distributed computing and Big Data technologies.
• Optimize Machine Learning models and algorithms for performance, accuracy, and reliability.
• Evaluate and implement state-of-the-art Machine Learning and Deep Learning algorithms and frameworks.
• Develop and maintain documentation for Machine Learning models and algorithms.
• Identify and solve technical and operational issues related to Machine Learning models in a production environment.
• Stay up-to-date with the latest Machine Learning and Deep Learning research and developments.

Requirements

Qualifications:

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
• 3+ years of experience in Machine Learning development and deployment.
• Strong proficiency in programming languages such as Python, Java, or C++.
• Experience with Machine Learning frameworks like TensorFlow, Keras, or PyTorch.
• Experience with Big Data technologies like Hadoop, Spark, or Hive.
• Strong understanding of Mathematics, Statistics, and Probability theory.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• PhD in Computer Science, Mathematics, Statistics, or related field.
• Experience with Natural Language Processing (NLP) or Computer Vision (CV).
• Experience with Cloud-based Machine Learning services like AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform.
• Experience with containerization technologies like Docker and Kubernetes.

As a Machine Learning Engineer, you will play a critical role in building scalable and efficient Machine Learning systems that drive business value. If you have a passion for Machine Learning and enjoy solving complex problems, we encourage you to apply for this exciting opportunity.