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Python / AI Engineer

Next Link · Poland, Malopolskie, Poland

Mixed hiring record · median 14 days open

3030

Hiring signal

Ghost risk

Open 238 days · How we score

All reasons
  • Open 238 days
  • 30% of this employer's openings are over 60 days old

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  • Still listed on the employer's own board

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Python / AI Engineer at Next Link. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Python / AI Engineer

Experience - 6+ Years​

Role Summary

The Python / AI Engineer will design, develop, and deploy scalable Python-based solutions with a strong focus on Artificial Intelligence and data-driven applications. The role involves building AI/ML models, integrating them into enterprise systems, and supporting end-to-end delivery in a secure, production-grade environment.

Key Responsibilities

  • Design, develop, and maintain Python-based applications and services for AI and data-driven use cases
  • Build, train, evaluate, and deploy machine learning and AI models for enterprise applications
  • Develop data pipelines and feature engineering workflows to support AI/ML models
  • Integrate AI solutions with enterprise platforms, APIs, and downstream systems
  • Ensure code quality, scalability, and performance using engineering best practices
  • Collaborate with product owners, data scientists, and platform teams across delivery lifecycle
  • Support model deployment, monitoring, and tuning in production environments
  • Adhere to enterprise security, compliance, and governance standards

Mandatory Skills & Experience (Must Have)

  • Strong hands-on experience in Python for backend development and data processing
  • Solid understanding of machine learning fundamentals and model evaluation

Experience with AI/ML libraries

TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas

  • Experience building and consuming REST APIs / microservices
  • Strong knowledge of data structures, algorithms, and OOP concepts
  • Experience with SQL and/or NoSQL databases
  • Exposure to cloud platforms (Azure preferred)
  • Knowledge of SDLC, Git, and CI/CD concepts

Desired Skills & Experience (Good to Have)

  • Experience with Generative AI, LLMs, or prompt engineering
  • Exposure to MLOps practices (model versioning, deployment, monitoring)
  • Experience with Azure AI/ML services or Azure OpenAI
  • Knowledge of containerization (Docker) and orchestration platforms
  • Experience working in Agile/Scrum environments
  • Background in enterprise-scale, secure production systems

Skills

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