ML & Data Ops Engineer, Fintech at Optasia

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

20 Aug, 26

Salary

0.0

Posted On

22 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ML Ops, Data Ops, Linux, SQL, Apache Spark, Hadoop, Airflow, CI/CD, Automation, Monitoring, Customer Support, Technical Documentation, Secure Code Development, OWASP, NIST, Analytical Skills

Industry

Financial Services

Description

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. 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 Data 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. As ML & Data OPs Engineer at Optasia, you will ensure the highest level of Optasia’s workflows availability and performance, monitor and continually adjust company's existing Data system infrastructure and resources, and prioritize issue resolution, all while fostering growth and continuous improvement. Your role is crucial in maintaining high service standards and reinforcing our commitment to client success. What you will do Manage the day-to-day monitoring of ML workflows and service alerts as well as operations of all data system infrastructure including storage, applications, databases, systems management, cluster resources and administrative tasks Act as a point of escalation for ML and data critical incidents by verifying, determining the cause and resolving or escalating as necessary Prioritize continuous integration, continuous delivery, automation, and consistent feedback loops, ensuring that software changes are continuously moving from development to production smoothly and efficiently Monitor and prioritize incoming customer inquiries to ensure swift response and resolution within defined service level agreements (SLAs) Foster a culture of continuous improvement within the team by identifying areas for enhancement in processes, tools, and technologies Perform health checks and quality checks procedures to the ML and data workflows in order to verify operational excellence Work collaboratively with teams including ML/Data Engineering team, Algorithmic Trading and Portfolio teams, System & Network Administration to ensure alignment in effectively addressing internal or customer-related issues Create training materials, deliver sessions either in groups or one-on-one, and uphold technical documentation What you will bring Bachelor's degree in engineering or computer science Proven experience (1+ years) in a customer support role with a track record of successfully resolving customer issues and managing customer relationships. Experience with ticketing systems Good knowledge of Linux and SQL Be comfortable navigating with at least some of the following technologies (Apache Spark, Hadoop, Airflow) Good monitoring and analytical skills Your key attributes Excellent written and verbal communication skills. Fluent in English Strong organizational skills, attention to detail, and the ability to multitask effectively. Self-motivated individual, able to work independently, with results driven attitude. Flexible, eager, ambitious, and adaptable to change. Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST) Why you should apply What we offer: 💸 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 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 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.

Responsibilities

Manage the day-to-day monitoring of ML workflows and data system infrastructure to ensure high availability and performance. Act as an escalation point for critical incidents while implementing CI/CD and automation to streamline software delivery.