Data & AI Engineering Manager

About Yassir

Yassir is the leading super App for on demand, ride-hailing, last-mile delivery, payment services and more, set to change the way daily services are provided. It currently operates in 45 cities across multiple countries. It has raised $150 million in Series B funding, five times what it raised in its previous priced round last November with world class investors such as BOND and Y Combinator, which is the precursor of the likes of Airbnb, Stripe, Dropbox, Doordash, among others.

We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.

We are currently seeking a Data & AI Engineering Manager, to join our team. Your role will be critical in the end-to-end data value chain, from data collection to industrialization. You will work closely with the Applied Science and Data Science teams to optimize dispatch techniques and dynamic pricing surge.

Your responsibilities will also include modeling and deploying production-ready models, as well as monitoring the performance of deployed models.

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.

Monitoring and Logging: Familiarity with tools like Prometheus, Grafana, and the ELK Stack.

Do you want to become part of our first-class team? You should definitely send us your application. 🚀

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