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.
As an Engineering Manager, ML, you will play a key role in project management within the AI team, collaborating closely with stakeholders, including the Product team, to ensure project success and relevance.
- Will be responsible for the data platform under Databricks
- Help to implement, manage and deploy AI use cases via Databricks
- Co-lead the communications with the different teams and stakeholders
Requirements:
- Strong expertise in Data Engineering & Machine Learning and experience in leading technical teams.
- Proven experience in managing data science, data engineering projects, from data collection to model industrialization.
- Ability to work collaboratively with different teams and communicate effectively with stakeholders.
- Excellent understanding of dispatch optimization and dynamic pricing surge techniques would be a plus.
Programming Languages:
- Proficiency in Python, R, Scala, or Java.
- Data Processing: Familiarity with Apache Spark, Hadoop, and both SQL/NoSQL databases.
- Machine Learning Tools: Knowledge of libraries like Scikit-learn, TensorFlow, and PyTorch.
- Data Visualization: Experience with Tableau, PowerBI, or Python visualization libraries.
- Cloud Platforms: Understanding of AWS, Google Cloud, or Azure services.
- DevOps and MLOps: Skills in Docker, Kubernetes, CI/CD tools, and infrastructure as code tools like Terraform.
- Version Control: Proficiency in Git.
Method of Application
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