Machine Learning Engineer

Job Description

Join our innovative team as a Machine Learning Engineer based in Durban. You will work on developing sophisticated algorithms that leverage AI technologies to provide impactful solutions for our clients. Your expertise will be key in transforming complex data into actionable insights and ensuring the functionality of ML systems in production environments.

Responsibilities

• Innovate and create machine learning solutions tailored to business needs.
• Integrate ML models into existing systems and applications.
• Conduct experiments to enhance the capabilities of ML algorithms.
• Provide mentorship and training to junior team members.
• Collaborate with product teams to deliver impactful features.
• Evaluate and select appropriate data sources for model training.
• Drive continuous improvements in ML processes and tools.
• Engage with clients to understand and address their machine learning needs.

Requirements

Education

• Bachelor's degree in a related field
• Master's degree is advantageous

Experience

• 3+ years in ML model development and deployment

Technical Skills

• R
• Keras

Soft Skills

• Collaboration
• Problem-solving

Certifications

• ML & AI Certifications from reputable institutions
• Data Science Certification

Languages

• English: Fluent

Advantageous

• Experience with Apache Spark: Familiarity with Spark's MLlib for big data processing and machine learning applications.
• Knowledge of NLP techniques: Understanding of natural language processing and its applications.

Benefits

• Health insurance coverage for employees and dependents
• Generous leave policy including community service leave
• Professional growth opportunities with mentorship
• Social events and team-building activities throughout the year

Company Culture

• Continuous Learning: We promote continuous learning and provide resources for professional development.
• Inclusivity: We are committed to creating a diverse and inclusive workplace.
• Work-Life Balance: We value our employees' well-being and encourage a healthy work-life balance.