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Johannesburg North: Senior Machine Learning Engineer posted by Network Finance

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Job Description

About the Role

Network Finance, a respected analytics-led consulting firm, is seeking a Senior Machine Learning Engineer to join their team. As a key member of the engineering team, you will be responsible for designing, developing, and delivering software components that power data science, machine learning, and LLM use cases. You will take ownership from concept to production, guide junior engineers, and ensure engineering best practices across projects.

Key Responsibilities

  • Design, develop, and deliver software components for analytics, ML, and AI/LLM-enabled systems.
  • Build backend services, APIs, data models, and scalable inference pipelines.
  • Develop and maintain data pipelines, feature stores, and modelserving interfaces.
  • Ensure codebases are maintainable, well-documented, tested, and production-ready.
  • Lead end-to-end solution delivery, including design, testing, deployment, and optimization.
  • Mentor junior engineers and enforce engineering best practices.
  • Participate in client engagements and collaborate with cross-functional teams.
  • Act as a trusted technical advisor to consultants and clients.

Requirements

  • Strong grounding in software engineering, algorithms, programming principles, mathematics, and probability.
  • MSc in Computer Science or related field (non-negotiable).
  • Minimum 2+ years of professional software engineering experience.
  • Proven contributions to production-grade systems across the full development lifecycle.
  • Experience in analytics, data science, ML, or AI-enabled environments beneficial.

Qualifications

  • PhD in AI/ML or distributed systems advantageous.

Salary & Benefits

Not specified.

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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