Johannesburg: AI / Machine Learning Engineer

Job & Company Description: Im looking for experienced AI / Machine Learning Engineers who have at least 2 years of hands-on experience working in real-world environments. You will have the opportunity to support and develop intelligent systems, predictive models, automation tools, and scalable machine learning solutions for clients in sectors such as Financial Services, Retail, Telecommunications, and Technology. Partnering with me gives you access to exciting opportunities where your skills in Machine Learning, Deep Learning, Python, TensorFlow, PyTorch, NLP, and Data Engineering will be highly valued. Key Responsibilities: Design, develop, train, and deploy machine learning models and algorithms. Build scalable AI solutions using frameworks such as TensorFlow, PyTorch, or Keras. Develop and optimize predictive models using supervised, unsupervised, and reinforcement learning. Perform data preprocessing, feature engineering, and model validation. Build and maintain end-to-end ML pipelines (data ingestion, training, deployment). Apply advanced statistical and mathematical techniques to solve business problems. Work with NLP, Computer Vision, or Generative AI (depending on project requirements). Deploy models into production environments using MLOps tools (Docker, Kubernetes, MLflow, Airflow, etc.). Collaborate with cross-functional teams (Data Engineering, BI, Software Development). Document models, processes, and research findings. Job Experience and Skills Required: Education: Completed Degree in: Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics / Statistics, Or a related field Certifications (Required or Highly Advantageous): AI / ML Certifications such as: Google Professional Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI Engineer Associate, TensorFlow Developer Certification or IBM AI Engineering Experience: Minimum 2 years real-world experience working as an AI / Machine Learning Engineer. Hands-on experience building, training, and deploying ML models. Technical Skills Required: Strong experience with Python (NumPy, Pandas, Scikit-learn, etc.) Deep learning frameworks: TensorFlow, PyTorch, Keras Experience with NLP, Computer Vision, or Time-Series modelling Experience deploying ML models into production Understanding of MLOps principles Experience with REST APIs and integrating ML into applications Solid knowledge of SQL / NoSQL databases Cloud exposure: Azure, AWS, or GCP Strong mathematical, statistical, and analytical skills Nice to Have: Experience with Generative AI / LLMs Experience with CI/CD pipelines Knowledge of Docker, Kubernetes, MLflow, Databricks Experience working with big data tools (Spark, Hadoop) Apply now!