Menu

Staff Machine Learning Engineer

Python, AWS, Docker and Kubernetes, Terraform

Your new company

For our client, a company that provides SaaS products related to sales, customer support, and other customer communications, we are looking for a Staff Machine Learning Engineer.

Your new role

The team is responsible for developing tools and infrastructure needed through all phases of the ML model life cycle. From exploration and design to production deployment and maintenance. We are here to support ML teams in helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems.
Client is looking for a Staff Machine Learning Engineer to build the ML platform which provides robust infrastructure to transform models into products for 145,000+ customers. The ideal candidate will have experience as a software engineer or MLOps engineer,
a desire to work in ML/AI domain and a deep interest in developing complex systems and automating the simple ones.

What you’ll be doing
• Build software to move machine learning from experiment to production
• Work closely with Data Science, ML Engineers and Product teams to build ML platform and to increase ML adoption across the company
• Actively contribute to discussions about technical designs and standards.
• Champion initiatives to improve the scalability and robustness of our platforms
• Design, prototype, and refine scalable infrastructure
• Build really cool products with a great team

What you'll need to succeed

Basic Qualifications:
• At least 6 years building scalable and stable software applications
• Proficiency in at least one of our core languages: Python
• Experience with AWS infrastructure
• Experience or knowledge of Docker and Kubernetes
• A self-managed and dedicated approach with the ability to work independently.
• Strong problem-solving capabilities as well as the flexibility (of working style) to deal with changing and conflicting priorities.
• Experience or knowledge of Infrastructure as Code tools (e.g. Terraform)
• Experience building and deploying machine learning models. Strong understanding of end-to-end machine learning pipelines and components.
• Familiarity with data engineering tools e.g. Spark
• Familiarity with AI/ML workflows and associated tooling. E.g. Sagemaker, ML Flow, Metaflow

Tech Stack
• Code is written in Python, Java, Scala and Go
• Servers live in AWS
• Team manages infrastructure using AWS CloudFormation, Terraform
• Data is stored in S3, RDS MySQL, Redis, ElasticSearch, and Aurora and streamed through Kafka
• Services are deployed to Kubernetes using Docker

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.



Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.


#LI-DNI
Click here to access HAYS Privacy Policy, which provides detailed information on how we use and protect your personal information, and your rights in relation to this.

Summary

Job Type
Permanent
Industry
Technology & Internet Services
Location
Kraków
Specialism
Technology
Pay
up to 38000 PLN gross / month
Ref:
1185521
Closing date
31 May 2024

Talk to a consultant

Talk to Aleksandra Siwik, the specialist consultant managing this position, located in Katowice
Hays, al. Roździeńskiego 1A

Telephone: +48 785 058 858

Similar jobs to Staff Machine Learning Engineer

  • DIGITAL SOLUTION ARCHITEKT

    Digital Solution Architect
    Warszawa

  • Backend Software Engineer Golang

    Backend Software Engineer – Golang
    Kraków

  • Project Engineer

    #projectengineer #engineering #English #Catia
    Bielsko-Biala

  • Fullstack Developer

    Fullstack Developer, Java, Angular
    Katowice/ Gliwice - praca hybrydowa

  • Salesforce Release Engineer

    SalesForce, DevOps, Copado
    Kraków16 500 - 28 000