AI Engineer Johannesburg

📌 OPPORTUNITY OVERVIEW:-MSP Staffing (PTY) LTD is actively recruiting for a AI Engineer position in Johannesburg. This is an excellent opportunity for professionals in the Data / Business / Analysis / Ai sector looking to advance their careers.

🎯 IDEAL CANDIDATE PROFILE:-We are seeking talented individuals with the following profile:• Experience Level: 5 years • Educational Background: Others or equivalent• Industry Focus: Data / Business / Analysis / Ai• Location Preference: in Johannesburg

💼 WHY THIS ROLE MATTERS:-The AI Engineer position is an important role within the Data / Business / Analysis / Ai sector, offering meaningful career development and professional growth opportunities.

📈 CAREER DEVELOPMENT INSIGHTS:-This role in Data / Business / Analysis / Ai offers valuable career progression opportunities aligned with your experience level and professional aspirations.

📋 APPLICATION GUIDANCE:-When applying for this AI Engineer position, ensure your CV highlights:• Relevant experience matching the 5 years requirement• Educational qualifications in line with Others• Specific achievements in the Data / Business / Analysis / Ai field• Any certifications or specialized training

🌍 SOUTH AFRICA JOB MARKET CONTEXT:-The Data / Business / Analysis / Ai sector in South Africa continues to show strong demand for skilled professionals. This position represents a valuable opportunity in the current job market.

Job Title: AI Engineer Company: MSP Staffing (PTY) LTD

Salary: R44 000.00 Per Month Job Type: Permanent Sector: IT Reference: AIEJHB10

Vacancy Details

Employer: MSP Staffing (PTY) LTD

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**Position Overview**

Create, develop and deploy scalable AI and Machine Learning solutions across Data Engineering, DevOps and Machine Learning domains. This role emphasizes Generative AI, traditional ML pipelines, data platforms, and the creation of robust, secure AI systems.

**Experience Required**

· Intermediate-Senior level expertise. · Minimum of 5 years of professional experience. · At least 2 years in AI/ML. · 1 year in Generative AI is highly desirable. · Proficient in Python, AI/LLM, ML engineering, MLOps, Big Data, and cloud technologies.

**Key Requirements**

• Design and implement comprehensive AI/ML pipelines from data ingestion to model deployment and monitoring. - Construct and optimize Generative AI applications utilizing RAG and LLM frameworks. - Develop scalable data processing workflows with modern Big Data tools. - Implement MLOps practices for managing the model lifecycle, versioning, and automated deployment. - Collaborate with data scientists and stakeholders to transform business requirements into technical solutions. - Ensure data quality, governance, and security across AI and data platforms. - Expert-level Python knowledge with OOP, design patterns, and asynchronous programming. - AI frameworks: LangChain, Langflow and AutoGen; ability to build agents and orchestrate LLM workflows. - Generative AI: RAG, Vector Search using Pinecone, Chroma or Milvus, and advanced Prompt Engineering. - MLOps: MLflow, Feature Stores and Model Serving using TFServing, TorchServe or KServe. - Big Data: PySpark, Spark SQL and Delta Lake. - Git workflows and CI/CD using GitHub Actions or Azure DevOps. - Workflow orchestration using Apache Airflow, Databricks Workflows or DLT. - Modern data architecture including Medallion Architecture and ETL/ELT data modelling. - Data governance using Unity Catalog, including lineage, access controls and security policies. - Real-time processing using Apache Kafka, AWS Kinesis or Spark Structured Streaming. - Data quality checks and validation using Great Expectations or Deequ. - BI and visualisation using PowerBI, Tableau or Databricks SQL Dashboards. - AWS: S3, IAM, VPCs, subnets, security groups and AWS networking. - AWS AI/ML services: Amazon Bedrock and Amazon SageMaker. - AWS Kinesis for real-time data ingestion and processing. - Azure: ADLS Gen2, Azure OpenAI Service, Azure AI Search, ARM templates/Bicep and Azure monitoring. - Azure networking and security: VNETs, Private Endpoints, Managed Identities and Key Vault. - Databricks: Mosaic AI, MLflow, Unity Catalog, Jobs, Workflows, DLT, Spark SQL/PySpark optimisation, Databricks CLI and REST APIs. - Certifications advantageous: NVIDIA Certified Associate or similar GenAI certifications; DeepLearning. AI specialised courses; AWS Certified Machine Learning – Specialty; AWS Solutions Architect – Associate; Microsoft Azure AI Engineer Associate (AI-102); Microsoft Azure Data Scientist Associate (DP-100); Databricks Certified Machine Learning Professional; Databricks Certified Generative AI Engineer Associate; Databricks Certified Data Engineer Professional.

**Consideration for Other Profiles**

Python back-end engineers with experience in Python, API development and system architecture may be considered for training, provided they have gaps in AI frameworks, ML concepts, Spark, and Vector DBs.

Data Engineers with experience in Spark, SQL, pipelines and cloud infrastructure may be considered for training, provided they have gaps in Model Serving, MLflow, LLM architectures and prompt engineering.

Data Scientists with expertise in statistics, model building and experimentation may be considered for training, provided they have gaps in software engineering, CI/CD, testing and production deployment.

**Application Process**

If you meet the requirements for this position, please email your CV to [Email hidden - Login to reveal]. You can also contact the IT team on XXX-XXXX or visit our website at https://mspstaffingza.co/.

Note: When replying to the advert, include the reference number in the subject line. Correspondence will only be conducted with shortlisted candidates. If you do not hear from us within 3 days, please consider your application unsuccessful.