Machine Learning Engineer

Job Description

Join Tech Innovations as a Machine Learning Engineer in Johannesburg. We are searching for passionate individuals who excel in developing and deploying machine learning models. You will work closely with data scientists and software engineers to drive AI solutions that impact real-world challenges. Your role will involve assessing business needs, data preparation, model training, and performance tuning to ensure high-quality solutions. If you're ready to shape the future of AI tech, we'd love to hear from you.

Responsibilities

• Design and implement scalable machine learning systems for production use.
• Leverage cloud services for deploying models and data storage.
• Evaluate model accuracy and performance through statistical analysis.
• Coordinate with product management to align machine learning efforts with business goals.
• Contribute to open-source projects and collaborative systems to enhance organizational knowledge.

Requirements

Education

• Bachelor's degree in Mathematics, Statistics, or Computer Science
• Master's degree preferred

Experience

• 3-5 years of experience in a machine learning role

Technical Skills

• R Programming
• Deep Learning

Soft Skills

• Communication
• Adaptability

Certifications

• Data Science Certification
• Certified Machine Learning Specialist

Languages

• English: Fluent

Advantageous

• Knowledge of Natural Language Processing: Experience in applying NLP techniques for text data analysis.
• Familiarity with Graphical Models: Understanding of Bayesian networks and Markov models for probabilistic reasoning.

Benefits

• Comprehensive medical aid and family coverage
• Generous leave and work-life balance initiatives
• Annual training budget for skills development
• Diverse and inclusive work environment

Company Culture

• Diversity and Inclusion: Committed to creating an inclusive environment where all team members feel valued and respected.
• Work-Life Balance: Prioritize the well-being of our employees through flexible scheduling and mental health support.