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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