Machine Learning (ML) Engineer
Nairobi, Kenya
Safaricom
Discover Safaricom's mobile, data, and M-PESA services in Kenya. Seamless connectivity, innovative solutions, and exclusive offers await you!The role will report to the Senior Data/ML Engineer
- 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.
How to Apply
If you feel that you are up to the challenge and possess the necessary qualification and experience, kindly proceed to update your candidate profile on the recruitment portal and then Click on the apply button. Remember to attach your resume.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Cassandra CI/CD Computer Science DevOps Docker Engineering ETL Git HBase Jenkins Kubeflow Kubernetes Machine Learning MLFlow ML models MLOps MongoDB NoSQL PyTorch Research SageMaker Scikit-learn Spark TensorFlow
Perks/benefits: Career development
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