Machine Learning (ML) Engineer at Safaricom Kenya

Responsibilities

• Collaborate with data scientists and software engineers to design and implement machine learning workflows.
• Take offline models data scientists build and turn them into a real machine learning production system.
• Develop and deploy scalable custom tools and services that can handle machine learning training and inference
• Apply software engineering best practices to machine learning such as CI/CD, versioning and Containerization
• Develop machine learning algorithms and libraries for problem solving and AI operations. 
• Research and provide input on design approach, performance and base functionality improvements for various software applications. 
• Stay up to date with the latest developments in machine learning and cloud computing technologies.

Qualifications 

• BS or MS in computer science or equivalent practical experience 
• At least 2-3 years of coding experience in a non-university setting. 
• Proven experience in Object Oriented development
• Experience in deploying and managing Machine Learning models at scale
• Experience with MLOps platforms such as Kubeflow, MLFlow, Sagemaker etc.
• Familiarity with DevOps practices and tools such as Kubernetes, Docker, Jenkins, Git.
• Proficient understanding of distributed computing principles 
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
• Demonstrated proficiency with data structures, algorithms, distributed computing, and ETL systems. 
• Good knowledge of and experience with big data frameworks such as Apache Hive, Spark
• Strong understanding of machine learning concepts and frameworks, including TensorFlow, PyTorch, Scikit-learn, Kedro etc.