Introduction Advanced Data Scientist – AI & Machine Learning Solutions (Contract)
Our client is seeking an elite AI architect who designs and deploys production-grade agentic systems and expert chatbots that automate conversations and solve complex business problems at enterprise scale!
Architect sophisticated AI solutions using Amazon Bedrock AgentCore, LangChain, LangGraph, and PyTorch on containerized Kubernetes infrastructure with advanced MLOps practices!
The ideal candidate is an industry-leading AI expert with a proven track record delivering large-scale enterprise AI solutions who excels at orchestrating multi-step reasoning and agentic workflows, brings deep expertise in model training/deployment with PyTorch/TensorFlow, demonstrates mastery of containerization, networking, and performance engineering for ML workloads, establishes robust MLOps/GenAI Ops practices including CI/CD and observability, and provides technical leadership while mentoring teams on AI architecture and operational excellence!
✅ Expert data science and machine learning engineering with applied AI techniques
✅ Hybrid and remote working flexibility with 1960 flexible annual hours
✅ Advanced analytical role collaborating with international teams and Al platforms
POSITION: Contract: 01 July 2026 – 31 December 2028 EXPERIENCE: 3–5 years of hands-on experience in data science, machine learning, and applied AI COMMENCEMENT: 01 July 2026 LOCATION: Hybrid: Midrand/Menlyn/Rosslyn/Home Office rotation TEAM: Data Science and Engineering / AI Platforms
Duties & Responsibilities Role Requirements
Research, design, and implement deep learning and machine learning models to meet business needs Understand stakeholder requirements and translate them into ML solutions Write Python code and contribute to reusable machine learning pipelines Work closely with international teams of data scientists, ML, and software engineers to deliver solutions Provide support for low-code/no-code solutions to enable business users where applicable Stay up to date with advances in data science and implement best practices across projects
Please Note:
South African citizens/residents preferred.
Valid work permit holders will be considered.
By applying, you consent to be added to the database and to receive updates until you unsubscribe. If you do not receive a response within 2 weeks, please consider your application unsuccessful.
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Desired Experience & Qualification Qualifications / Experience
Minimum Master's Degree in Data Science, Computer Science, Statistics, Engineering, or a related field with strong mathematical foundations 3–5 years of hands-on experience in data science, machine learning, and applied AI Proven track record operating mission-critical platforms in an enterprise environment
Level Criteria
Communication: Adapt (Reach agreement through flexibility and compromise. The parties generally have the same objective) Delivery: Delivery is sometimes unclear and may require the employee to seek clarity and adapt requests to be aligned to business standards. Employee may be expected to provide guidance to lower level employees Knowledge: Expertise in a specific field or discipline with multiple experiences where practical implementation has been merged with technical theory Problem Solving: Check that the solutions by others are addressing the problems identified. May need to develop simple solutions to varied problems in single systems Supervision: Mostly autonomous with a mentor on tasks that require senior involvement
Essential Skills Requirements
Proficiency in Python for data science and production code development Strong experience with classical machine learning algorithms and applied AI techniques Practical experience building and training deep learning models using TensorFlow Familiarity with MLOps practices for deploying and managing models in production Experience with data engineering tasks: ETL, preprocessing, feature engineering, and visualization Strong analytical and problem-solving capabilities with attention to performance, efficiency, and scalability Experience engaging with stakeholders and translating business needs into technical solutions
Advantageous Skills Requirements
Hands-on experience with cloud platforms such as AWS and Azure Experience with ML frameworks beyond TensorFlow (e.g., PyTorch, Keras, scikit-learn)
Interested? Feel free to also view our other opportunities > https://www.careers-page.com/isanqa
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