Intellias
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General information

Vacancy domainMachine Learning / Big Data
Employment : Full time
Minimum experience5 years
Required English levelAdvanced - C1

Hard skills

AIOpsML

Requirements

  • Master or higher degree in Computer Science, Engineering, or a related field.
  • 5+ years of professional experience in MLOps, machine learning engineering, or a similar role.
  • Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Experience in designing and implementing scalable machine learning pipelines for model training, validation, and deployment.
  • Experience with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
  • Experience with cloud platforms, containerization technologies and automated testing and monitoring of machine learning models.
  • Nice to have:
  • Experience of deploying llm models on premise
  • Experience with data science projects
  • Industry knowledge in retail, manufacturing, healthcare, energy, finance or telecom

Responsibilities

  • Execution and guidance of technical POCs and projects
  • Consulting, discovery phases and suggestions for executing the MLOps projects by following best practices and latest advancements in the field
  • Cooperating on presales and upsales with rest of the team
  • Participating in public speaking events

Vacancy description

We have a dream: to change industries through the power of digital technology. With a team of top-notch engineers by your side, you will develop groundbreaking solutions at Intellias. Let’s code the future together! Project Overview: We are looking for a skilled and experienced MLOps Engineer with business orientation to join our dynamic and innovative team at Intellias. As an MLOps Engineer, you will play a crucial role in developing and maintaining the infrastructure and processes required for deploying and managing machine learning models in production. Why this position: At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.

Informative video

Project

Customer from  - Poland (Possibility of a working trip to the customer's country)
Project stack
important to have commercial experience with ML Ops tools ( like Neptune, Airflow, etc.) and Cloud/Onprem solutions. Experience with Machine Learning( Data or AI projects). Experience in Data Engineering or Data Science will be a plus.

The role is a team extension, the person would be the second Senior Engineer. The need for the role is connected with a high number of requests from clients. The person will be a part of the Technology office ( not assigned to a particular delivery project) and will be responsible for working with pre-sales/new projects - acting as a technical consultant, conducting discovery phases, and creating PoCs.

Perks at work

  • At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.
  • Humane workplace
  • People over process
  • Flexible work style
  • Engineering mastery
  • Growth mindset
  • Equity, diversity, inclusion
  • Standing together
  • Customized benefits

Hiring steps

  • HR interview
  • Technical interview
  • Interview with Project Manager

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