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Gauteng: Senior Machine Learning Engineer posted by Network Finance

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Job Description

Our Client is an advanced analytics and technology consulting firm that blends deep engineering capability with cuttingedge AI and machine learning to deliver highimpact solutions across multiple industries. This is a senior technical position combining handson engineering with technical leadership, solution design, and close collaboration with consultants, data scientists, and clients. You will own systems from concept to production and play a critical role in scaling the company’s AI and analytics capabilities.

Requirements:

  • MSc in Computer Science or related field
  • Experience leading the design and development of software components that support data ingestion, analytics, machine learning, and AI-driven workflows, including LLM-enabled applications
  • Strong ability to translate analytical, AI, and business requirements into practical technical solutions
  • Exposure to consulting, client-facing delivery, or regulated industries is beneficial

Apply now!
 
For more exciting IT vacancies, please visit: .za

I also specialise in recruiting in the following:

  • Software Developers/Engineers/Architects
  • Data Analytics Specialists
  • PM/BA/Scrum Masters
  • DevOps and Infrastructure Experts

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information contact:
Samkelisiwe Makhanye
Recruitment Consultant
(***)***-****

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.

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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.

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This information provides general career guidance. Actual salaries and requirements vary by employer.



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