Are you a Machine Learning Engineer looking for your next challenge? Do you love to create algorithms that help the organisation predict and detect significant data patterns? Look no further! Continue reading, and apply!

The Company

Triggerise believes in a world where all youth have the power to choose where, when, and how they meet their sexual reproductive health needs. Our digital platform delivers scalable and verifiable sexual reproductive health services for young people in 5 main markets in Sub Saharan Africa – Kenya, Ethiopia, Uganda, South Africa and Burkina Faso. We work together with local communities and use nudges like reminders, discounts, and reward points to encourage our users to access and use sexual and reproductive health services. We also support our users in becoming micro-entrepreneurs and adding value to their economies.

Triggerise has offices in South Africa, Kenya, Ethiopia, the Netherlands and Portugal. Globally, our team consists of 160 enthusiastic, international colleagues. Whether you are working from our biggest office in Nairobi, the fast-growing office in South Africa, or from home, our people are young and our culture is global and dynamic. Our work environment is fast-paced, informal, and friendly. You can learn more about what being part of Triggerise is like here.

We are open to remote work for this position and will happily accept applicants from Portugal, South Africa, and Kenya.

The Job

As a Machine Learning Engineer, you’ll design and develop Machine Learning algorithms that help us predict and detect significant data patterns into the Tiko Platform.

This is a temporary contract of 12 months, during which you’ll have the following exciting responsibilities:

• You’ll develop machine learning algorithms in the applicable systems, applying the best-use principles of machine learning to the design, development, maintenance, testing, and evaluation of the software.
• Our team works in an agile way, and you’ll be part of the rituals and practices.
• You’ll document your work and ensure that your documentation is clear and understandable for future use by others.
• You’ll make sure the software you develop is secure and safe with regards to information security and personal data.
• We expect you to actively participate in meetings and projects and coordinate with your team members. We also expect you to continue to develop yourself and keep abreast of new developments.
• You’ll run, get involved with, and help out colleagues on other projects as needed.

About You

You are passionate about Machine Learning and want to work with a dynamic team of professionals. You take a proactive approach to problem-solving and have a logical way of thinking.

Requirements

• 5+ years of professional experience in Information Technology
• 3+ years of experience designing, developing and deploying Machine Learning models in a production environment
• Strong background in mathematics and statistics
• Exposure to developing NLP solutions over opensource platforms
• Exposure to common machine learning, data, math, and visualization libraries
• Exposure to different coding environments (local, notebooks, containers) and software engineering workflows (testing, code management/Git)
• Proficiency in Python
• Understanding of relational databases such as SQL, MySQL, PostgreSQL
• Familiarity with a cloud environment (AWS) and containerised environment (Kubernetes, Docker) and CI/CD (ArgoCD, AWS Code Pipelines)

The Rewards

At Triggerise we believe in being open, also when it comes to salaries. The monthly salary bracket for this position is R56 385  – R84 578 gross in South Africa, Ksh269,370 – Ksh404,000 gross in Kenya, and €2,540 – €3,810 gross in Portugal, plus benefits. We will offer you a salary in this bracket depending on your level of experience and how it relates to your future colleagues.

In addition to your monthly salary, we offer you:

• Great secondary benefits
• A personal development budget.
• Unlimited holidays, if you can make it work with your team you’re good to go.
• Growth opportunities.
• A product to help shape as we grow, to leave your mark on how we do things.
• A vision that we trust that you will do your job without us having to invent unnecessary rules and regulations.

Interested applicants can apply via this link.