Optasia is a fully-integrated B2B2X financial technology platform covering scoring, financial decisioning, disbursement & collection. We provide a versatile AI Platform powering financial inclusion, delivering responsible financing decision-making and driving a superior business model & strong customer experience with presence in 30 Countries anchored by 7 Regional Offices.
We are seeking for enthusiastic professionals, with energy, who are results driven and have can-do attitude, who want to be part of a team of likeminded individuals who are delivering solutions in an innovative and exciting environment.
Data is at the core of Optasia growth plan and the ML Engineering team is a significant contributor to Optasia’s success and growth, achieved through data driven insights and decision making. We are currently leveraging and ingesting data from multiple sources into our large-scale big data clusters and develop and run multiple analytical pipelines, over a state-of-the art big data technology stack.
Machine Learning Engineers are significant contributors of the company’s data driven automated decision making and risk management. They have extensive experience with machine learning flows, and the development and deployment of advanced algorithms. They have the capability to (i) build ML flows , (ii) design and develop statistical and machine learning algorithms, and (iii) operationalize them in credit risk management, contributing to Optasia’s success.
What you will do
Develop and deploy advanced, scalable and automated ML pipelines
Be comfortable navigating the following technology stack: Hadoop ecosystem, Airflow, Git, Docker, Jenkins Scala, Spark, Python, scripting (Bash/Python), SQL etc.
Write production-quality code for REST API services
Work closely with experienced Data Engineers, Solution Architects, ML engineers and System Administrators for the design, delivery and support of the company’s end-to-end ML workflows
Build and maintain CI/CD orchestration
Align coding standards to ensure proper code quality level
Keeping up with the latest in Data Science and Machine Learning tooling & communities
What you will bring
- Bachelor's or Master's degree in Electrical Engineering, Computer Science or Informatics
- 2+ years of industry experience with Applied Machine Learning, ML flows and Data Science
- Good knowledge in the core concepts of machine learning.
- Good knowledge in using the Python ecosystem (NumPy, Pandas) for data analysis
- Ability to efficiently search and understand the scientific literature of mathematical models, machine learning and AI
- Passion for learning, exploring and developing new models and machine learning and AI algorithms
- Ability to hit tight deadlines and work under pressure and strict attention to detail
- Cutting-edge technologies aware, with the ability to learn and adapt to new technologies
Optional requirements (will be considered a plus):
- Experience with big-data applications and tools (Apache Hadoop / PySpark or Scala framework)
- Familiar with DevOps and CI/CD best practices (Git, Jenkins)
- Design and implement Airflow DAGs
Why you should apply
What we offer:
👟 Flexible remote working
💸 Competitive remuneration package
🏝 Extra day off on your birthday
💰 Performance-based bonus scheme
👩🏽⚕️ Comprehensive private healthcare insurance
📲 💻 All the tech gear you need to work smart
Optasia’s Perks:
🎌 Be a part of a multicultural working environment
🎯 Meet a very unique and promising business and industry
🌌 🌠 Gain insights for tomorrow market’s foreground
🎓 A solid career path within our working family is ready for you
📚 Continuous training and access to online training platforms
Optasia’s Values 🌟
#1 Drive to Thrive: Fully dedicated to evolving. We welcome all challenges and learning opportunities.
#2 Customer-First Mindset: We go above and beyond to meet our partners’ and clients’ expectations.
#3 Bridge the Gap: Knowledge is shared, information is exchanged and every opinion counts.
#4 Go-Getter Spirit: We are results oriented. We identify any shortcomings that hold us back and step up to do what’s needed.
#5 Together we will do it: We are committed to supporting one another and to understanding and respecting different perspectives, as we aim to reach our common goals.
Top Skills
What We Do
We deliver Optasia, the AI Platform enabling financial access for the next billion customers. We are changing the world our way.
Α versatile, data-driven B2B2X (business-to-business-to-customers and SMEs) financial technology platform for MNOs, mobile wallet operators and financial institutions, which provides them with accurate credit scoring for responsible financing decision-making.
We support intelligent credit decisions, enable a broad range of financial services development and drive successful business models. All with ease, through our AI-led fully-automated decisioning algorithm, which allows us to efficiently make millions of decisions on financing, based on sophisticated data analysis.
Thanks to our technology and network we provide powerful flywheel effects with repeatable and scalable growth levers, to help our partners grow and enable financial access to retail & SME customers across numerous markets.
Operating since 2012 as Channel VAS and expanded in more than 35 countries in Africa, Middle East, Asia and LATAM with focus in emerging markets, Optasia Enabling credit decisions for an average of 116 million customers a month and had more than 980 million addressable subscribers in 2023, continuing to expand to new markets globally.
Optasia has been chosen as an investment opportunity by top firms such as Abu Dhabi's Waha Capital in 2017, and Ethos, a leading South African investment company in late 2018. The company also obtained ISO 27001 Certification in late 2021. Founded as Channel VAS in 2012, we became Optasia in 2022, incorporating a brand identity that more broadly reflects our capabilities.
