Datatonic

Senior ML Engineer

Datatonic
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3 months ago
Gothenburg, SwedenSenior

Responsibilities

  • Translate ambiguous requirements into machine learning models that solve real-world business problems.
  • Conduct machine learning experiments using Python and machine learning libraries.
  • Develop generative AI solutions and optimize ML systems for performance and scalability.
  • Implement custom machine learning code and production-grade AI and data-driven software.
  • Build efficient data flows between databases and backend systems.
  • Automate MLOps workflows, including testing, reproducibility, and feature or metadata storage.
  • Design machine learning architectures using Google Cloud tools and services.
  • Scope consulting projects, oversee engagement delivery, lead projects, and participate in client discussions.
  • Build trusted relationships with prospects and communicate technical concepts to clients.

Requirements

  • Multiple years of experience as a Machine Learning Engineer, preferably in a consulting environment.
  • Proficiency in Python as a backend language and experience delivering production-ready code.
  • Strong machine learning and data science fundamentals, including model optimization and deployment practices.
  • Familiarity with Google Cloud, AWS, or Azure.
  • Hands-on software engineering experience and knowledge of SQL for querying and managing data.
  • Experience scaling computations with GPUs or distributed computing systems.
  • Familiarity with exposing machine learning components through web services or wrappers such as Flask in Python.
  • Strong communication, presentation, and consulting skills.
  • Scale-up experience is a bonus.
  • Cloud certifications such as Google Cloud Professional Machine Learning Engineer or AWS Solution Architect are a bonus.

Benefits

  • 30 days of holiday plus bank holidays.
  • Healthcare allowance available after probation.
  • Wellness allowance payable on receipt of invoice.
  • Hybrid work model with a work-from-home equipment allowance available after probation.
  • Access to learning platforms such as Udemy.
  • Private salary sacrifice pension available.

Tech Stack

Categories

Datatonic

About Datatonic

201-500 employees
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