Hybrid ML & Data Ops Engineer, Fintech

Posted 3 hours ago

Apply now

About the role

  • ML & Data Ops Engineer ensuring high level performance and availability of workflows at Optasia. Collaborating with teams to maintain and enhance data system infrastructure in a hybrid work environment.

Responsibilities

  • 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

Requirements

  • 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

Benefits

  • 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

Job title

ML & Data Ops Engineer, Fintech

Job type

Experience level

Junior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job