Machine Learning Engineer

Job Description

We are seeking a Machine Learning Engineer to join our innovative team in Midrand. The ideal candidate will possess strong expertise in developing and deploying machine learning models. You'll be responsible for designing algorithms, evaluating data sets, and fine-tuning models to enhance their predictive performance. In this role, you will work closely with data scientists and software engineers to integrate solutions into production systems, making a real impact in sectors such as finance, healthcare, and beyond.

Responsibilities

• Analyze and implement emerging machine learning trends and technologies.
• Conduct regular performance evaluations and tuning of machine learning models.
• Create and maintain robust documentation for all machine learning processes.
• Align machine learning initiatives with business objectives and goals.
• Present findings and recommendations to stakeholders regularly.

Requirements

Education

• Bachelor's degree in relevant field
• Master's degree in Data Science or a related area is an advantage

Experience

• 3+ years of experience in developing machine learning applications

Technical Skills

• Python
• Keras
• Machine Learning Algorithms

Soft Skills

• Creative Problem Solving
• Collaboration

Certifications

• Machine Learning Certified Professional
• Data Science Certification

Languages

• English: Fluent

Advantageous

• Knowledge of Natural Language Processing (NLP): Expertise in NLP techniques for data interpretation.
• Experience with Big Data technologies: Familiar with Hadoop, Spark or similar frameworks for working with large datasets.

Benefits

• Health, dental, and vision insurance
• Annual performance bonus
• Flexible working hours with options for remote work
• Professional development opportunities offered regularly

Company Culture

• Continuous Improvement: We believe in lifelong learning and offer numerous opportunities for skills development.
• Community Engagement: We are dedicated to giving back to the community through various outreach programs.