Yassir is the leading super App for on demand and payment services in the Maghreb region set to changing the way daily services are provided. It currently operates in 26 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (+$43M in funding) by VCs from Silicon Valley, Europe and other parts of the world including Y Combinator, which is the precursor of the likes of Airbnb, Stripe, Dropbox, Doordash, among others. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.
About the role
- Yassir, a leading super app in Africa, is seeking an experienced Senior MLOPS Engineer to join our team.
- As the Lead MLOPS Engineer, you will be responsible for developing and maintaining the MLOps infrastructure for Yassir's machine learning projects.
- You will work closely with data scientists, software engineers, and product managers to ensure the successful delivery of high- quality AI models and their integration into our applications.
About your role as MLops Engineer
- Design, develop, and maintain the MLOps infrastructure for Yassir's machine learning projects, including data pipelines, model training, deployment, and monitoring
- Collaborate with data scientists to implement machine learning algorithms and models
- Implement best practices for version control, testing, deployment, and monitoring of machine learning models
- Automate and optimize the machine learning development process
- Manage and mentor a team of MLOps engineers
- Work closely with product managers and software engineers to integrate machine learning models into Yassir's applications
- Collaborate with data engineers to ensure data quality and availability for machine learning projects
- Stay up-to-date with the latest developments in machine learning, MLOps, and cloud infrastructure technologies.
About your experience
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- At least 5 years of experience in MLOps, machine learning, or software engineering
- Strong knowledge of machine learning algorithms, frameworks, and tools (e.g.,TensorFlow, PyTorch, Scikit-learn, Keras)
- Proficiency in cloud infrastructure technologies (e.g., AWS, Azure, GCP)
- Experience with containerization (e.g., Docker, Kubernetes) and microservices architecture
- Experience with version control systems (e.g., Git)
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration skills
- Experience managing a team of engineers is a plus
Method of Application
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