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Python / AI Engineer

Technology
Confidential
Poland, United States3 weeks agoUntil 4/29/2026

Job description

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

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