Machine Learning Engineer

Founded in 2018, Gozem is today a technological group of more than 400 people, flexible and driven, offering a comprehensive range of services such as transport, delivery, finance, mobile money, and many more to African users through our mobile application. Currently, we are operating in Benin, Togo, Gabon, and Cameroon. However, our main ambition is to become "Africa's Super App" by expanding across French-speaking Africa. Our solution is 100% designed for the African market, catering to drivers, customers, merchants, and soon, SMEs in our areas of operation.

We are a multinational group, significantly present in multiple cities, and we take pride in contributing to enhancing local communities' life via market digitalization and the implementation of technology-based efficiencies.

Are you seeking growth in a challenging yet friendly environment? Aspiring to evolve and advance in dynamic and disruptive digital contexts?

Help us construct a new African digital ecosystem that uplifts the quality of life. Together, let's bring a smile to Africa!

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What does being a Machine Learning Engineer at Gozem entail?

Our Machine Learning Engineer will tackle open-ended business problems to boost engagement and rejuvenate long-term growth by building and maintaining Gozem ML solutions. You will actively cooperate with our Product Manager and Tech Team to incorporate new features into our app to scale up our operations.

Your responsibilities:

• Collaborate with the Head of the Data Science Team to define the ML models required
• Establish and maintain ML model training/prediction pipelines in production
• Oversee and assist our infrastructure and production models
• Build reusable tools and frameworks for ML model deployment and monitoring
• Implement cutting-edge, big-data frameworks to support batch and real-time jobs
• Identify potential system bottlenecks and perform optimizations

You would be a perfect fit for this job if you have...

• Experience working with ML model training/deployment tools such as Airflow, Kubeflow, Seldon etc.
• Knowledge in infrastructure aspects, including Cloud Computing, Linux OS, Docker, RDBMS, and NoSQL Databases
• Work experience with open source ML libraries such as Tensorflow, , and XGBoost etc.
• Experience with large-scale systems in data science, and creating production ML pipelines for model training/prediction

You possess:

• Educational level: A Master's degree (desirable but not compulsory) in Computer Science or Big Data Engineering
• 2 years of related experience
• Self-directed learning ability, independence, and a passion for sharing knowledge with team members
• Mandatory skills: Familiarity with big data engineering tools such as Spark, Kafka, Google cloud etc.
• Supplementary skills: Proficiency in any programming language (Python)
• Tools to master: Asana, G-Suite
• Languages:
• French
• English
• Location: On-site or remote
• What we predominantly value: Self-driven, independent learners who enjoy sharing knowledge with team members. Detail-oriented, efficient time managers in a dynamic and fast-paced working environment

Note: Applicants in a time zone between GMT and GMT+3 are encouraged.

Working Conditions & Benefits

We offer our employees a fair, friendly, and intercultural working environment, where we diligently work towards nurturing each individual's talent. To achieve this, we provide:

📍 Remote work if you are not located in a country where Gozem operates (Togo, Benin, Gabon, Cameroon)

🏢 Open-space offices and the possibility of teleworking (to be discussed with your manager)

💶 A gross monthly remuneration in accordance with our internal grid as well as the relevance of your past experiences for the position.

🌿 An option to purchase Gozem shares

🎁 An annual bonus that allows you to receive between 0 and 4.5 months of additional salary the following year

🚗 Benefits on our Super App for your travel and deliveries

🌐 A health and IT insurance package

But more than anything, an opportunity to join a young, dynamic team that is making a real social impact in French-speaking Africa!

Interview process

• An introductory meeting with the recruitment manager (15 minutes)
• A written interview questionnaire
• A 45-minute analytic exercise.
• A business case to be completed within 8 days
• A presentation of your business case to the head of the Data team (future supervisor) and a time to discuss your professional experience followed by a referral request (providing us with 4 professional contacts to whom we will send a questionnaire)
• One final validation interview with one of our co-founders