Sabenza IT & Recruitment - Senior Java Developer - Machine Learning

Client: Sabenza IT & Recruitment

Location: johannesburg, GT, za

Contract: Freelance

Job Description

This is a remote position. 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.

Additional Information

This position is fully remote.