Software Engineering Team Lead for ML & AI Platforms

General duties:
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.

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
Requirements:
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
DSK Bank offers:
Excellent opportunities for professional and career development in one of Bulgaria’s leading banks;
Food vouchers in the amount of 200 BGN per month;
20+5 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.

Documents for application:
CV