Senior Java Developer - Machine Learning
Senior Java Developer Machine Learning chez beBee à South Africa.
Senior Java Developer - Machine Learning - Sabenza IT & Recruitment | BeBee Back Senior Java Developer - Machine Learning
Technology
Sabenza IT & Recruitment WorkFromSouth Africa 4 weeks ago Until 2026/06/18
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Job description We are seeking a Senior Java Developer with a focus on Machine Learning and large-scale data systems. The ideal candidate will combine strong Java expertise with hands‑on experience in ML frameworks, Python, and cloud‑native infrastructure to build scalable, intelligent data solutions.
Key Responsibilities Design, develop, and maintain Java-based backend services for ML pipelines. Collaborate with data scientists to productionize machine learning models. Build scalable data ingestion, transformation, and processing pipelines. Implement APIs and microservices to integrate ML models into applications. Optimize performance of large-scale data systems. Deploy and manage ML workloads on Kubernetes or cloud platforms. Ensure code quality, testing, and adherence to software engineering best practices. Monitor, troubleshoot, and tune ML systems in production. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Relevant ML or cloud certifications advantageous 7+ years of backend development experience in Java. Strong knowledge of Machine Learning concepts and frameworks specifically TensorFlow 2.x Experience with Matrix Factorization and factorization machines is advantageous. Solid Python programming experience for ML and data processing. Hands‑on experience with large-scale data systems and distributed architectures. Experience deploying applications on Kubernetes and containerized environments. Strong SQL and NoSQL database skills. Experience with RESTful APIs and microservices architecture. Familiarity with CI/CD pipelines and DevOps best practices. Strong debugging, performance tuning, and problem-solving skills. Experience with cloud ML platforms Knowledge of big data frameworks (Apache Spark, Hadoop). Exposure to model monitoring, logging, and MLOps practices. Experience with version control for ML models and data pipelines.
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Technical proficiency — beBee expects hands-on mastery of Python, SQL. Don't just list them: describe a concrete project where you used them and the outcome delivered.
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