Job Description

Our client requires the services of a Software Engineer (Senior) - Midrand/Menlyn/Rosslyn/Home Office rotation

• Amazing brand with cutting-edge technology
• Excellent teams in Global team collaboration
• High work-life balance with Flexible hours
• Agile working environment

POSITION: Contract until December 2027EXPERIENCE: 6-8 Years related working experienceCOMMENCEMENT: 01 April 2025QUALIFICATIONS/EXPERIENCE

• Bachelors degree in computer science, Software Engineering, or similar qualification.
• 3+ years experience in developing in Python.
• Strong background in software development, mathematics, and good analytical and problem-solving skills.
• Experience in AI Solutions

ESSENTIAL SKILLS * Python Programming

• Strong understanding of Python syntax and principles of clean, reusable code.
• Understanding of Python frameworks and libraries e.g. Pandas and NumPy
• AWS Lambda Functions

• Experience developing, deploying, and managing serverless applications using AWS Lambda
• Proficiency in writing unit and integration tests for AWS Lambda functions to ensure functionality, performance, and reliability.
• Version Control with Git

• Experience with Git repositories and code management (e.g. GitHub)
• Proficiency in using Git for version control and collaboration.
• Testing Frameworks

• Experience with testing tools like pytest for creating and maintaining unit tests.
• Ability to implement automated testing pipelines to ensure code reliability.
• API Management

• API designing principles and best practices.
• Experience in working with RESTful APIs and understanding how to consume and create APIs.
• Familiarity with API management tools, such as Apigee, for efficient and secure API integration.
• Cloud Platforms

• Understanding how to deploy application applications in AWS.
• IDE And Tools

• Visual studio code
• GitHub Desktop
• PyCharm
• Jupyter Notebook
• Any additional responsibilities assigned in the Agile Working Model (AWM) Charter

ADVANTAGEOUS SKILLS

• Strong understanding of SQL and experience writing complex queries for data extraction and manipulation.
• Basic understanding of Large Language Models (LLMs) like GPT-4 and their applications.
• Familiarity with integrating LLM APIs (e.g., OpenAI, Hugging Face) into Python applications is a plus.
• Experience and Knowledge about SAP Analytics Stack and Tools.
• Experience in designing and creating data models within SAP Datasphere leveraging Python for data transformation tasks.
• Experience in developing and implementing data integration solutions to connect various data sources to SAP Datasphere using Python scripts and APIs.
• Implementing and managing infrastructure on AWS using Terraform.
• Understanding and experience with Generative AI use cases or projects
• Coaching and giving training to fellow colleagues and users when required.
• Problem solving capabilities.
• Strong presentation skills

ROLE:

• The AI Engineer is a versatile and highly skilled professional responsible for leveraging advanced data analytics, machine learning, and artificial intelligence techniques to drive business insights, optimize operations, and deliver innovative solutions.
• This role encompasses a wide range of responsibilities, from creating data mining architectures and statistical models to implementing AI-powered prompt engineering strategies.

Data Analytics and Modelling:

• Create data mining architectures, models, and protocols to identify trends and patterns in large data sets across various business functions, including market economics, supply chain, marketing, and scientific research.
• Apply advanced statistical and data analysis methodologies to derive actionable insights that inform business decisions.
• Research and stay up to date with emerging data science principles, theories, and techniques to continuously enhance the organization's analytical capabilities.

Machine Learning and AI Integration:

• Develop and implement machine learning (ML) or other artificial intelligence (AI) techniques to solve business problems and derive actionable insights.
• Architect and implement prompt engineering strategies, leveraging advanced Natural Language Processing (NLP) techniques, to guide and control the behavior of AI language models.
• Collaborate with cross-functional teams to refine the prompt generation process and align the AI system's output with broader organizational goals and user needs.

AI-Powered Content Generation

• Craft, refine, and optimize the generation of AI-generated text prompts to ensure they are contextually accurate, engaging, and relevant for a wide array of applications, from conversational agents to automated content creation.
• Apply machine learning methodologies, including training data curation, feature engineering, model evaluation, and hyperparameter tuning, to continually improve the performance of AI systems.
• Knowledge and experience with use of Large Language Models (LLM) and Retrieval Augmented Generation (RAG) pipelines.

AI System Integration and Deployment

• Integrate AI systems and models into existing applications and processes, ensuring seamless integration and optimal performance.
• Develop strategies and frameworks for deploying AI solutions at scale, addressing challenges related to scalability, reliability, and security.
• Collaborate with software engineers and IT teams to ensure the successful implementation and maintenance of AI-powered systems.

Stakeholder Engagement and Collaboration:

• Provide guidance and support to help the organization leverage data-driven decision-making and AI-enabled capabilities.
• Collaborate with subject matter experts and domain specialists to understand business requirements and translate them into effective AI solutions.
• By combining advanced data analytics, machine learning, and AI integration, the AI Engineer plays a crucial role in transforming the organization's data assets into innovative, AI-driven solutions that drive strategic decision-making, operational excellence, and competitive advantage.
• NB: xefxbbxbfxefxbbxbfBy applying for this role, you consent to be added to the iSanqa database and to receive updates until you unsubscribe.
• Also note, that if you have not received a response from us within 2 weeks, your application was unsuccessful.
• Candidates MUST be based in Gauteng or WILLING TO RELOCATE!

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iSanqa Resourcing