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.
ABOUT THE ROLE
In this role, you will be part of our data science and engineering team, working on ML-based algorithms for real-time decision making to power our on-demand and payment marketplaces which involve real-time order demand, delivery and merchant supplies. This will include real-time algorithms and working closely with software engineers for integration and deployment.
TASKS
- Set up and manage our AI development and production infrastructure.
- Help business stakeholders understand the potential and limitations of AI when planning new products.
- Build data ingest and data transformation infrastructure.
- Identify transfer learning opportunities and new training datasets.
- Build AI models from scratch and help product managers and stakeholders understand results.
- Deploy AI models into production.
- Create APIs and put results of your AI models into operations.
- Keep current of latest AI research relevant to our business domain.
- Ensure the performance, quality, and responsiveness of applications
- Collaborate with a team to define, design, and ship new features
- Identify and correct bottlenecks and fix bugs
- Help maintain code quality, organization, and automatization
- Participate in brainstorming sessions and contribute ideas to our technology, algorithms and products.
- Work with the engineering and design teams to understand end-user requirements, formulate use cases, and then translate that into a pragmatic and effective technical solution
- Dive into difficult problems and successfully deliver results on schedule
- At least 1-year of experience in a similar role
- Demonstrated proficiency in Python for machine learning
- Experience in building machine learning models and leveraging pre-trained models in platforms such as Keras, TensorFlow or Theano.
- Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects.
- Outstanding written & verbal communication skills. You can break down and explain complex machine learning initiatives and trade-offs to a non-tech audience
- Outstanding project management skills and leadership abilities. You are ready to build and grow a machine learning team
- Comfortable working in an entrepreneurial environment with a demonstrated ability to prioritise, self-start, contribute under pressure, and meet tight deadlines
- Experience in a rapidly growing company in the mobility, on-demand or fintech space is a plus
- BSc/MSc in Engineering, Computer Science, or relevant field. MS degree and above preferred
- Great compensation and bonuses including stock options.
- Ground floor opportunity with the team; shape the strategic direction of the company.
- Sharp, motivated co-workers in a fun office environment.
- Full social coverage.
- Ground floor opportunity with the team; shape the strategic direction of the company.
- The rare opportunity to change the world around you such that everyone around you is using the product you built. We’re not just another app, we’re infusing social values and reinventing how services are provided.
- Sharp, motivated co-workers in a fun office environment.
*As a company, we are passionate about diversity and inclusion, 40% of our team are women leaders in the tech sector. Research shows that women do not apply for jobs if they do not meet all of the requirements. We would like to hear from you if you feel you would be a good fit for us!
Do you want to become part of our first-class team? Then you absolutely have to send us your application. 🚀
PS: And if you want to stand out in your application, just let us know in your cover letter why we should have in our team. đź’ˇ
Diversity & Inclusion & Engagement:
We celebrate diversity and are committed to creating an inclusive environment for all employees, as we believe diverse teams are more successful in the long term. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, and we encourage all people equally to apply for jobs with us.
This job is already closed and no longer accepting applicants, sorry.
