+
Login

Enter your email and password to log in if you already have an account on H512.com

Forgot password?
+
Създай своя профил в DEV.BG/Jobs

За да потвърдите, че не сте робот, моля отговорете на въпроса, като попълните празното поле:

103+41 =
+
Forgot password

Enter your email, and we will send you your password

DSK Bank

Software Engineering Team Lead for ML & AI Platforms

ApplySubmit your application

The job listing is published in the following categories

  • Anywhere
  • Report an issue Megaphone icon

Report an issue with the job ad

×

    What is wrong with the job listing?*
    Please describe the problem:
    In order to confirm you are not a robot please fill the answer to the calculation in the field:
    Tech Stack / Requirements

    DSK Bank is one of the leading banks in Bulgaria, with a great IT team of more than 250 IT talents, experiencing professional growth and development every day.

    Our Advanced Analytics and AI Department is building state-of-the-art technology (machine learning platform and models) in order to enable data-driven decision making for various advanced analytics uses cases / applications (e.g. pricing, churn, propensity-to-buy, campaign automation etc.). Machine Learning Platform is foundational solution that enables multiple use-cases inside the Bank: machine learning model development and deployment, customer offer computation and automating real-time customer journeys.

    We are looking for talented and self-driven professional, that will lead the team designing and developing our Machine Learning Platform (MLP). Our MLP is built on Azure Cloud, using Azure services, open-source tools and custom developed code. It is a great opportunity to really make an impact on banking!

     

    Software Engineering Team Lead for ML & AI Platforms

     

    Responsibilities:

    • Owns the MLP architecture and roadmap
    • Align with Data Scientists, Data Engineers, Markets, IT Cloud & IT On Prem, InfoSec & other teams on future development of Machine Learning Platform
    • Lead integration of MLP with other Bank’s systems
    • Ensure stable operation of production environment, provide all required observability stack, maintain runbooks and incident response procedures
    • R&D infrastructure & service improvements via new approaches, frameworks, etc.
    • Proposals for changes
    • Collaborate with the data scientists’ team to improve the monitoring of the machine learning models performance.
    • Participates in different digital projects and cross functional teams.

     

    Expectations:

    • Strong Python experience (sqlalchemy, fastapi, etc.)
    • Docker & Kubernetes knowledge
    • Understanding of software design patterns and testing
    • Ownership mentality, curiosity & pro-active approach
    • Verbal and written English

     

    Ideal candidate:

    • Knowledge of relational databases (Postgres) and streams (Kafka)
    • Azure and Databricks experience
    • Experience with Java or Scala

     

    Your challenges:

    • We are building a Machine Learning Platform and we will require low-latency features- and data-stores for real-time model-serving. Hence there are a handful of challenges for our Development team:
    • Design and build micro-services to facilitate fast pace of change
    • Create state-of-the-art model serving architecture
    • Engrain development, testing & deployment best practices to reduce risks and amount of mundane work

     

    What we offer to you:

    • Excellent opportunities for professional and career development in one of Bulgaria’s leading banks;
    • Food vouchers in the amount of 200 BGN per month;
    • 25 paid holiday leave;
    • Additional Health Insurance;
    • Favorable conditions for housing and mortgage lending, as well as for bank products and services;
    • Annual bonus scheme depending on the achieved results;
    • Preferential conditions for Multisport / CoolFit card;
    • Great location;
    • Discounts in various companies;
    • Professional trainings for specific knowledge and skills (internal academies);
    • Refer a Friend Bonus.

     

    If you are challenged by this opportunity, we would be glad to review your application. Only shortlisted candidates will be contacted. All applications will be treated with strict confidentiality.