Machine Learning System Engineer

6000 - 9000 PLN brutto (UoP)

Poznań

Full-time

• Firma:

  Egnyte

• Wielkość firmy:

  201-500

• Zespół:

  Brak informacji

Minimalna liczba lat doświadczenia w IT: 0

Opis pracy

We are looking for an engineer that will help us to improve how we deploy, monitor, and manage machine learning models in production. The core of the work will be focused on ensuring that our models are sound, robust and updated, that they are deployed in a controlled manner in solid containers, and that their performance and stability are appropriately monitored and measured. Besides tasks associated with moving models into production, an important part of the work concerns the development of appropriate approaches and tools to ensure a professional management of our models in production.

Job Duties and Responsibilities:
Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning.
Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments.
Testing the robustness of our deployed machine learning models.
Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
Working closely within a distributed team to analyze and apply innovative solutions over billions of documents.
Supporting solutions ranging from rule-based to deep learning systems.
Partnering with cross-functional team members to bring large-scale data engineering solutions to production.
Communicating your approach and results to a wider audience through presentations.

Skills - Experience and Requirements:
Demonstrated success with Data Science in a SaaS or Cloud environment, with hands-on knowledge of model creation and deployments in production at scale
Experience in DevOps
Good knowledge of traditional Machine Learning methods and neural networks
Ability to implement data import, cleansing and transformation functions
Fluency in SQL, Python, Bash. Competency in other programming languages a plus.
Ability to create models in Python
Working knowledge of relational and dimensional data models
Fluency in Docker, Kubernetes, Kibana.
Bonus Skills:
Experience with large data sets and distributed computing, especially with the Google Cloud Platform
Experience with advanced analytical modeling and statistical forecasting techniques
Experience with No–SQL and Graph databases

The Offer:
Salary from 8.000 up to 12.000 PLN Gross depending on skills
Flexible forms of employment and working hours
Geek-friendly and energetic environment
Stock options – how cool it’s to be the Owner
Multisport
Private medical healthcare
In-house English classes
Training and conferences budget
Team lunches and events

Specyfikacja pracy

• Open space

  

• Elastyczne godziny pracy

  

• Biuro czynne

  7-19

Metodyka pracy

• system wersjonowania

  

• agile

  

• standardy kodowania

  

• baza wiedzy

  

Narzędzia pracy

• laptop

  

• Linux

  

• Windows

  

• dodatkowy monitor

  

• swoboda w doborze narzędzi