Senior ML Engineer, Fintech

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.
We are looking for a Senior ML Engineer to join our growing ML Engineering team. As part of our team, you will be able to enrich and further evolve the company’s data driven automated decision making, credit risk management operationalization, and the highly scalable end-to-end ML pipelines, contributing to Optasia’s success. 

What you will do

Provide technical expertise and direction in ML engineering, guiding the team in selecting appropriate tools, technologies, and methodologies. Stay updated with the latest advancements in ML engineering and ensure the team follows best practices and industry standards

Provide expert advice by improving scalability, stability, accuracy, speed and efficiency of our existing ML workflows while keeping to the highest standards of testing and code quality

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, conduct code reviews 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

• 5+ 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
• 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.

Optional requirements (will be considered a plus):

• Worked extensively with big-data applications and tools (Apache Hadoop / PySpark or Scala framework) 
• 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

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.