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Machine Learning Engineer (100% remote)

Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or advanced degree in a relevant field., 3+ years for mid-level, 5+ years for senior roles in ML systems., Proficiency in Python and big data tools., Experience with cloud platforms and machine learning orchestration tools..

Key responsabilities:

  • Collaborate to design and deploy ML systems.
  • Create comprehensive solutions for ML model lifecycle.
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Devire SME http://www.devire.pl
201 - 500 Employees
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Job description

Devire IT Outsourcing is a form of cooperation dedicated to IT professionals, based on the principles of own business - B2B, implementing projects for clients running innovative and modern projects.


With our Client - a global IT consultancy and technology company that specializes in digital transformation, agile software development, and cloud solutions, we are looking for a Machine Learning Engineer. The project focuses on one of the world's largest apparel companies and a global leader in denim, emphasizing their role in the fashion and textile industry.


work model: 100% remote

salary: 100-130 PLN net+VAT/h (mid); 130-150 PLN net+VAT/h (senior)



Requirements:


We seek an individual who embodies a technology-agnostic mindset and a passion for lifelong learning, exploring cutting-edge scientific concepts. This role suits someone eager to blend algorithm design and software engineering expertise with mentoring, individual contribution, and strategic collaboration, bringing creativity, empathy, and a positive outlook to solving large-scale challenges.


  • Bachelor’s or advanced degree in engineering, computer science, mathematics, or a related discipline.
  • Mid-level roles require 3+ years, and senior roles require 5+ years of experience developing and deploying machine learning systems in production.
  • Hands-on experience with big data tools such as Spark, Hadoop, or Kafka.
  • Proficiency in at least one cloud platform (AWS, GCP, Azure) and familiarity with serverless code development, with a preference for GCP.
  • Strong command of object-oriented or functional scripting languages, with Python as a must-have.
  • Proficiency in Python data-handling libraries like Pandas or PySpark.
  • Competence in SQL for data transformation and consumption; familiarity with dialects like SparkSQL or BigQuery SQL is a plus.
  • Solid understanding of standard software engineering practices, including unit testing, test automation, CI/CD pipelines, code reviews, and design documentation.
  • Experience with native ML orchestration tools such as Kubeflow, Vertex AI Pipelines, Airflow, or TFX.


Responsibilities:


  • Collaborate with data scientists and analysts to design and deploy innovative models and machine learning systems.
  • Develop and implement comprehensive solutions covering the entire machine learning model lifecycle, from data exploration and feature engineering to building ML pipelines and deploying models in production. This includes working on both batch and real-time models and providing operational support.
  • Create scalable, efficient, and automated workflows for data analysis, model development, validation, and deployment.
  • Develop high-performance, scalable software to deliver products in an iterative, continuous-release environment.
  • Design and optimize data pipelines to support machine learning workflows effectively.
  • Advocate for and implement robust software engineering practices within the team, focusing on cloud-native solutions for ML pipelines.
  • Leverage and contribute to shared best practices within the community to enhance team capabilities.


The offer:

  • 100-130 net+VAT/h (mid); 130-150PLN net+VAT/h (senior), B2B via Devire
  • Remote work model
  • Benefits: Multisport card, private medical care, life insurance
  • Long-term cooperation
  • Flexible working hours, Polish time

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Empathy
  • Collaboration
  • Creativity
  • Problem Solving

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