Senior Software Engineer (AI/ML)

AIDA projektai, MB

Warszawa

Remote

PLN 260,000 - 380,000

Full time

2 days ago
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Benefits offered by this job

Remote work
B2B contract
Competitive compensation

Job summary

AIDA projektai, MB invites a Senior AI Engineer to lead design, deployment, and scaling of AI/ML systems powering accessibility testing and new product capabilities.

You will mentor peers, set ML deployment best practices, and drive production-ready solutions with emphasis on ethical AI, transparency, and impact. The role offers remote work with flexible hours and a mission-driven team focused on digital equality.

Qualifications

  • 5+ years of proven experience in machine learning or AI engineering.
  • Hands-on expertise deploying models in production environments.
  • Expert-level Python development (5+ years) with ML frameworks.
  • Experience with scalable ML infrastructure and backend engineering.
  • Familiarity with data engineering tools such as AWS Glue, Athena, or Spark.
  • Deep understanding of model lifecycle management from training to deployment and monitoring.

Responsibilities

  • Lead end-to-end ML lifecycle from data collection and labeling strategy to continuous model improvement.
  • Design, train, and deploy ML models in large-scale production environments.
  • Work on Computer Vision, NLP, and representation learning for accessibility applications.
  • Collaborate with product, design, and accessibility teams to deliver AI solutions.
  • Maintain clean, scalable codebases following engineering best practices.
  • Champion ethical and responsible AI with focus on transparency and fairness.

Skills

Communication
Team collaboration
Software engineering

Tools

Python
TensorFlow
PyTorch
Scikit-learn
Docker
AWS
Spark
Hugging Face Transformers

Job description

About the job Senior Software Engineer (AI/ML)

For our client, we are looking for a Senior AI Engineer to drive the next generation of intelligent, accessible technology.


About the Role

In this role, you will lead the design, deployment, and scaling of advanced AI and machine learning systems that power automated accessibility testing, intelligent analysis, and new product capabilities aimed at promoting digital equality.


You will act as a senior technical leader architecting robust, ethical, and production-ready solutions while mentoring peers and setting engineering best practices for ML deployment at scale.


The Ideal Candidate


  • 5+ years of proven experience in machine learning or AI engineering, with hands-on expertise deploying models in production environments.

  • Expert-level Python developer (5+ years) with strong knowledge of TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers.

  • Experience with scalable ML infrastructure and backend engineering (API design, cloud integrations, ML workflow support).

  • Familiarity with data engineering tools such as AWS Glue, Athena, or Spark.

  • Deep understanding of model lifecycle management from training and evaluation to deployment and monitoring.

  • Excellent communication and collaboration skills.

  • Experience in Computer Vision or NLP

  • Hands-on with Docker & AWS

  • Knowledge of accessibility standards and practices


What You Will Do


  • Lead end-to-end ML lifecycle from data collection and labeling strategy to continuous model improvement.

  • Design, train, and deploy ML models in large-scale production environments.

  • Work on innovative solutions in Computer Vision, NLP, and representation learning applied to accessibility.

  • Collaborate with product, design, and accessibility teams to deliver impactful AI solutions.

  • Maintain clean, scalable, and maintainable codebases following engineering best practices.

  • Champion ethical and responsible AI with a focus on transparency, fairness, and accessibility impact.


What the Company Offers


  • Long-term project with a mission-driven team focused on digital equality.

  • Opportunity to work with cutting-edge AI technologies and shape product direction.

  • Remote work setup with flexible hours.

  • B2B contract with competitive compensation.

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