Senior Machine Learning Developer Durban up to R480 per annum

e-Merge IT Recruitment; Durban; Hybrid; ZAR 380 000 - 480 000; Full time

Job summary

A forward-thinking technology company in Durban is seeking a Senior Machine Learning Developer to drive innovative AI solutions. You will provide expertise in advanced Machine Learning methods, develop and integrate models for ECS products, and collaborate with cross-functional teams. A relevant degree and 3–5 years of experience in data analysis are required. This hybrid position offers a salary between R380k and R480k, negotiable based on experience.

Qualifications

• 3–5 years of operational, data analysis, or research experience in relevant sectors.
• Proven track record in analyzing complex datasets.
• Experience with Big Data platforms and cloud computing.

Responsibilities

• Develop and integrate AI detection models into solutions.
• Perform data mining and support Machine Learning training.
• Collaborate within cross-functional project teams.

Skills

Proficiency in Python

SQL querying

Data analysis

Data visualization

Familiarity with NLP

Experience with TensorFlow

Education

Relevant tertiary qualification in Engineering, Mathematics, Statistics, Physics or Operations Research

Postgraduate qualification

Tools

Microsoft Azure

SQL Azure

Data Factories

Job description

Join a forward-thinking company driving innovative AI and Machine Learning solutions for industrial, manufacturing, and energy sectors. We are committed to harnessing data and analytics to enable smarter, automated decision-making while supporting a net zero carbon transition. As a Senior Machine Learning Developer, you will provide analytical expertise and support using advanced Machine Learning and AI methods, algorithms, and systems to extract actionable insights from complex data. You will develop, integrate, and optimize AI / ML solutions that enhance ECS products, processes, and dashboards.

Responsibilities

• Develop and integrate AI detection models and algorithms into ECS solutions and dashboards
• Perform data mining, acquisition, transformation, and automated interpretation to support Machine Learning training and inference
• Discover and evaluate new Machine Learning methodologies, technologies, and tools for operational effectiveness
• Develop, test, code, and document mathematical and Machine Learning models using appropriate technology frameworks
• Collaborate effectively within cross-functional project teams to implement solutions
• Ensure quality assurance, documentation, and intellectual property registration of developed algorithms and models

Qualifications and Experience

• Relevant tertiary qualification in Engineering, Mathematics, Statistics, Physics, or Operations Research (BSc, BEng, BTech)
• Postgraduate qualification preferred
• 3–5 years of operational, data analysis, or research experience, preferably within industrial, manufacturing, engineering, or mining sectors
• Proven track record in analyzing complex datasets and delivering actionable insights
• Strong proficiency in Python, SQL, and database querying
• Experience with Big Data platforms (e.g., Microsoft Azure, SQL Azure, Data Factories) and cloud computing platforms
• Familiarity with Computer Vision, Natural Language Processing (NLP), and deep learning frameworks (TensorFlow, PyTorch)
• Expertise in core analytics & data visualization: EDA, descriptive, predictive, diagnostic, and prescriptive analysis
• Knowledge of machine learning algorithms, predictive analytics, model validation, statistical analysis, and mathematical modeling
• Data wrangling, preprocessing, and workflow automation experience

The Reference Number for this position is NG60839 which is a Permanent, hybrid position in Durban offering a salary of R380k up to R480k CTC salary negotiable based on experience.