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.
As member of the Machine Learning Engineering team (MLOps) in Optasia, you need an 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. Machine Learning Engineers are part of a large team of 40 people, working closely with Big Data Engineers and Analysts.
What you will do
Developing and deploying advanced profit scoring models and data ML pipelines to extract, transform and analyze business transactional data while ensuring the scalability and robustness of the solutions
Building scalable, reliable and automated ML flows
Dealing with Big Data (datasets in TBs with hundreds of columns), stored in Hadoop clusters
Solution implementation using ML libraries (e.g Scikit-learn, Keras, Tensorflow, Apache MLlib) and big-data applications and tools (Apache Spark)
Designing and implementing credit risk models and algorithms beyond the state of the art
Experiment with new features and representations that will enhance the performance of the deployed solutions
Keeping up with the latest in Data Science and Machine Learning tooling & communities.
Continuously improving algorithms and methods through rigorous investigation and evaluation of alternatives
Work closely and train data analysts in using advanced analytics
Write production-quality code for ML pipelines.
Write production-quality code for REST API services.
Contribute to optimization, testing, and tooling to improve code/system quality.
What you will bring
BSc and MSc in Computer Science, Electrical Engineering, Mathematics, or Data Science from an accredited institution
3+ years of industry experience with Applied Machine Learning, ML flows and Data Science
A solid foundation in the core concepts of machine learning and statistics
A solid foundation in using the Python ecosystem (NumPy, Pandas) for data analysis
Experience with distributed computing platforms such as Hadoop and Spark will be an asset
Ability to efficiently search and understand the scientific literature of mathematical models, machine learning and AI
Ability to judge the relevance of existing models and algorithms to specific business needs
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
Hands-on experience implementing and maintaining high-scale, production ML systems in Python (on Linux-based environments).
Familiar with development processes using Linux, Git, Jenkins etc
Will be considered a plus
Programing in PySpark or Scala framework
Practical experience with big-data applications and tools (Apache Spark, Hadoop)
Practical experience with REST APIs (FastAPI, Flask etc.) framework.
Knowledge in containerized application development(Docker-Compose/Swarm).
Experience with DevOps and CI/CD best practices(Git, Jenkins)
Design and implement Airflow DAGs
Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST)
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
🎌 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
🥳 CSR activities and festive events within any possible occasion
🍜 Enjoy comfortable open space restaurant with varied meal options every day
🎾 🧘♀️ Wellbeing activities access such as free on-site yoga classes, plus available squash court on our premises