Senior ML Infrastructure Engineer, Fintech

Optasia is a fully enabled B2B2X financial technology platform covering scoring, financial decisioning, disbursement and collection. We are committed to enabling financial inclusion for all.
We are changing the world our way
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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.

We are looking for a Senior ML Infrastructure Engineer to join our growing ML Engineering team. In this role, you will help advance Optasia’s data-driven decision-making and credit risk management by building and evolving scalable, end-to-end ML pipelines. The main responsibilities include (i) building robust ML pipelines , (ii) designing and developing statistical and machine learning algorithms, and (iii) operationalizing these solutions to strengthen in credit risk management — directly contributing to Optasia’s success.

• Offer technical expertise in ML engineering, helping the team adopt the right tools and approaches, stay ahead of emerging trends, and deliver solutions that meet industry best practices.
• Provide expert guidance to improve the scalability, stability, accuracy, speed, and efficiency of ML workflows, while upholding the highest standards of testing and code quality.
• Contribute to the design and development of the microservices and tools that support Machine Learning lifecycle at Optasia.
• Contribute to the design and delivery of scalable, real-time microservices used globally.
• Drive continuous improvements in the development lifecycle in collaboration with the team.
• Design, develop and maintain large-scale Spark jobs using PySpark and Scala.
• Build and manage CI/CD pipelines with Jenkins.
• Develop automation scripts using Python or Bash.
• Develop and deploy scalable Airflow pipelines that support the Machine Learning lifecycle.
• Perform data exploration and analysis to scope, build, and iterate on Machine Learning proof-of-concepts (PoCs).
• Partner with Engineers and Credit Risk team to design and deliver solutions that drive business value at Optasia.
• Optimize the codebase through Spark job tuning and refactoring.
• Drive improvements to our feature engineering engine to support more efficient ML workflows.

• Bachelor's or Master's degree in Electrical Engineering, Computer Science or Informatics.
• 5+ years of industry experience with Machine Learning Engineering and MLOps background.
• Solid understanding of core Machine Learning concepts and MLOps.
• Proficiency in Python and PySpark (or Scala, Java).
• Strong knowledge of the Hadoop ecosystem.
• Proficiency in SQL.
• Proficiency in Linux.
• Strong knowledge of end-to-end API development and deployment.
• Proficiency in building and managing Dockerized applications.
• Experience with workflow orchestration tools such as Airflow (or similar).
• Familiarity with CI/CD best practices.
• Ability to meet tight deadlines, work under pressure, and maintain strict attention to detail.
• Awareness of emerging technologies, with the ability to quickly learn and adapt to new tools and frameworks.

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
🥳 CSR activities and festive events within any possible occasion
🍜 Enjoy…