Job Description
About the Role
Network Contracting is seeking an experienced AI/ML Engineer to join our team. As a key member of our team, you will be responsible for designing, developing, and deploying machine learning models across various projects. Your expertise in full machine learning lifecycle — from data preparation and model development to deployment and optimization — will be invaluable to our organization.
Key Responsibilities
- Design, develop, train, and deploy machine learning models.
- Work with structured and unstructured data to build AI solutions.
- Implement data preprocessing, feature engineering, and model evaluation.
- Collaborate with data engineers and software engineers to productionise models.
- Monitor model performance and retrain models as needed.
- Research and apply new AI/ML techniques and algorithms.
- Document models, experiments, and best practices.
Requirements
- 3+ years experience as an AI/ML Engineer or Data Scientist.
- Strong programming skills in Python.
- Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of machine learning algorithms and statistical methods.
- Experience working with data pipelines and large datasets.
- Familiarity with model deployment techniques (APIs, containers).
Qualifications
- Degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
Salary & Benefits
[Salary information not mentioned in original] [No benefits information available]
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About Datacapturing Jobs in Gauteng
In Gauteng, South Africa, the demand for data capturing professionals is generally consistent across various industries, driven by the increasing reliance on technology and digital transformation. This field encompasses a range of roles, from data entry clerks to more senior positions like data analysts or managers. As a result, career prospects in this area are often stable, with opportunities for advancement and professional growth.
Typically, salaries for data capturing professionals in Gauteng fall within the broad range of R400 000 to R800 000 per annum, depending on factors such as level of experience, company size, and industry sector. It’s essential to note that these figures are general estimates and may vary significantly, with senior roles or those in larger companies often commanding higher salaries. Experience, skills, and qualifications also play a crucial role in determining actual salary ranges.
Common skills required for data capturing roles include proficiency in Microsoft Office Suite, particularly Excel, as well as experience with data capture software and tools. Additionally, strong attention to detail, analytical skills, and the ability to work accurately under pressure are often essential. Other valuable skills include communication and interpersonal abilities, as well as an understanding of basic data analysis concepts.
Data capturing roles can be found in various industries, including financial services sector, technology industry, manufacturing sector, and more. These sectors often require data capturing professionals to support operations, manage databases, or perform data analysis tasks.
For those interested in pursuing a career in data capturing, there are several opportunities for professional development. Many companies offer training programs or internal promotions to help employees develop new skills and advance their careers. Additionally, certifications like Microsoft Certified: Data Analyst can be beneficial in enhancing employability. Generally, experienced professionals can move into more senior roles or transition into related fields like business analysis or project management.
In summary, a career in data capturing in Gauteng offers stable opportunities for professional growth, with various industries to choose from. While salaries may vary, common skills and industry sectors provide a general understanding of the field’s requirements and prospects. By developing relevant skills and staying adaptable, individuals can build successful careers in this area.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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