Machine Learning Engineer (Intermediate / Senior)

Our client is seeking a passionate Machine Learning Engineer to join a growing team delivering cutting-edge AI solutions for a diverse client base. This is an exciting opportunity for an experienced professional who enjoys building production-ready machine learning applications, working with modern cloud technologies, and collaborating with multidisciplinary teams to solve complex business challenges. Key Responsibilities • Design, build, and deploy production-ready machine learning solutions. • Develop AI-powered applications, AI agents, and LLM-based solutions. • Build and optimise data pipelines for model training and inference. • Implement MLOps best practices, including CI/CD, deployment, monitoring, and automation. • Develop scalable ML platforms and cloud-based AI infrastructure. • Deploy AI solutions to an AI marketplace and production environments. • Collaborate with data scientists, BI specialists, DevOps engineers, and software development teams. • Engage confidently with both technical and business stakeholders throughout project delivery. Requirements • Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a related field. • Minimum 2 years' experience in machine learning, data science, or data engineering. • Strong Python development experience with solid SQL skills. • Proven experience working with AWS cloud services (essential). • Experience across the machine learning lifecycle, including training, deployment, monitoring, and MLOps. • Experience building scalable AI applications and APIs. • Strong understanding of software engineering principles and clean coding practices. Advantageous • AWS certifications. • Experience with AWS Bedrock and Bedrock AgentCore. • Open-source contributions, startup, or product development experience. • Postgraduate qualification in AI, Machine Learning, or a related field. Personal Attributes • Passionate about AI and emerging technologies. • Strong analytical and problem-solving skills. • Excellent communication and collaboration abilities. • Self-motivated with the ability to work independently. • Eager to continuously learn and grow. Only shortlisted candidates will be contacted. Submit your CV to ***email_hidden*** or call 021 555 0432. Visit our website for more exciting career opportunities: https://mspstaffingza.co/ Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful.