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MPower Plus

AI/ ML Developer

MPower Plus
Poland · Contract · Mid-Senior

About the role:

We are seeking a highly skilled and motivated AI Engineer to join our growing team. The ideal candidate will have hands-on experience in Generative AI-based content search and extraction, computer vision, and AI agents, with a strong foundation in both structured and unstructured data processing. You will contribute to the development of intelligent systems that leverage cutting-edge machine learning techniques and open-source tools to solve real-world problems.


Required Qualifications:

  • Proven experience in Generative AI applications, especially in content search and extraction.
  • Strong background in computer vision, including object detection and image processing.
  • Hands-on experience with structured and unstructured data formats.
  • Familiarity with AI agents and autonomous systems.
  • Proficiency in open-source OCR tools and techniques.
  • Solid understanding of conventional ML techniques and open-source libraries.
  • Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, CI/CD).


Key Responsibilities:

  • Design and implement AI solutions for content search and extraction using Generative AI models.
  • Develop and optimize pipelines for processing structured and unstructured documents, including PDFs, scanned images, and text files.
  • Apply computer vision techniques such as object detection and image classification to extract meaningful insights from visual data.
  • Integrate and customize open-source OCR tools (e.g., Tesseract, EasyOCR) for document understanding.
  • Build and deploy AI agents capable of autonomous decision-making and task execution.
  • Utilize conventional machine learning algorithms and open-source frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) for model development.
  • Collaborate with MLOps teams to ensure scalable and maintainable deployment of ML models.
  • Optionally contribute to web-based AI applications using modern web technologies.
  • Communicate effectively with cross-functional teams and stakeholders to translate business requirements into technical solutions.


Principal responsibilities:

  • Building production-ready models to drive content extraction and classification from images and text-based sources.
  • Working closely with business teams to understand requirements and iteratively design and develop solutions.
  • Collaborative with product managers, technical teams.
  • Create, test and iterate new and existing products and features.
  • Designing and building Python/ML/OCR-based components.
  • Not only supporting the development of the product, but also the full lifecycle including the deployment, testing and production support of the application.

Required experience:

  • Strong experience in Document AI/Intelligent document processing using traditional models and Generative AI - particularly in using open source models for achieving business outcomes.
  • Experience delivering to production in python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives.
  • Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents.
  • Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs.

Nice to Have:

  • Experience using PostgreSQL for data storage and management.
  • Proficiency with Azure's core services like Azure Virtual Machines and experience with one or all of Azure CLI, Azure Kubernetes Service (AKS) and Azure DevOps
  • Experience delivering in teams releasing at a high cadence to production.

Key Skills

Ranked by relevance

ai machine learning computer vision tensorflow pytorch mlops natural language processing deep learning cybersecurity kubernetes postgresql kubeflow storage python docker devops mlflow
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Posted
Jul 21, 2025
Type
Contract
Level
Mid-Senior
Location
Cracow

Industries

Banking

Categories

Information Technology

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