MLOps Engineer
Python
MLOps Engineer
Volven
Warszawa
Type of work
Undetermined
Experience
Senior
Employment Type
B2B
Operating mode
Remote
Tech stack
MLOps
Python
Software Architecture
AWS
Kubernetes
CI/CD
Machine Learning
crypto
Job description
Online interview
We are looking for MLOps Engineer to work for a European company from the fintech industry specializing in algorithmic trading and cryptocurrencies. You will be working in a small but talented team to evolve and improve our product.
Getting started: ASAP
We offer:
Getting started: ASAP
We offer:
- attractive salary depending on skills and experience (B2B: PLN 25000-35000 net/month)
- bonus paid for work efficiency and commitment
Tools used:
- Collaboration: Teams, Jira, Confluence
- Source repositories: GitHub
- Databases: in-house time-series database
- Monitoring: Prometheus, Grafana
- Containers: Docker, Kubernetes
- Cloud services: AWS (mostly EKS, ECR, EC2, EFS, RDS but we adapt more and more cloud services to our stack)
Organization of work:
- Agile development: TDD, DevOps, CI/CD
- Good practices: clean code, design patterns
- Quality assurance: code review, pair programming
- Tests: unit / integration / performance / manual
Tasks/Responsibilites:
- Design and implement infrastructure and APIs for the machine learning large-scale systems.
- Scaling out current systems to support bigger traffic and huge amounts of data.
- Create easy-to-read, fast and well-architected quality code for the constant improvement of our backend application that manages the conversation with users and provides helpful answers through as an API.
- Closely cooperate with ML Engineers and DevOps teams to teach and learn something new.
- Reviews other’s code and designs and provides constructive feedback to meet our
- Maintain high-quality standards.
Requirements:
Minimum 3+ years of experience in fields related to the MLOps Engineer role, especially:
Minimum 3+ years of experience in fields related to the MLOps Engineer role, especially:
- python language
- cloud technologies exposure (we work with AWS stack, but any will do)
- strong computer science fundamentals in data structures, algorithms, complexity analysis, object-oriented design and designing large scale data-intensive applications
- excellent analytical and communication skills including experience speaking to technical and business audiences and working globally
- knowledge of Linux, Docker, REST, Git, FastAPI
- experience with creating and working with microservices approach
- experience in creating unit/integration/e2e/performance tests
- knowledge of good programming principles, i.e., SOLID, DRY, KISS, YAGNI, etc.
- good communication in English (at least B2 level)
- good interpersonal and communication skills (ability to work in a team)
- "nothing is impossible" approach to problem solving
Good to have:
- knowledge of Kubernetes, AWS, CI/CD Pipeline or willing to learn them
- knowledge in the field of finance, trading systems, cryptocurrencies, financial markets
Benefits:
- private medical care
- multisport card
- co-financing of trainings and courses
- possibility to work remotely or in coworking space nearby you
- flexible working hours
- integration meetings
- employee recommendation program
- free coffee/tea/fruit in the office
If you are interested, please send your CV in English