AI Engineer

120 - 150 PLN/ godz./ godz.

SeniorZdalnieFull-time

#471624·Dodano 5 dni temu·1

Źródło: LinkGroup

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Tech Stack / Keywords

Python Microsoft AzureMLOpsmachine learning CI/CDAI

Podsumowanie oferty

Develop and optimize AI and machine learning solutions, from prototyping through production deployment. Build ML workflows and data processing pipelines using Microsoft Azure and Python, and maintain MLOps processes.

Wymagania

At least 5 years of professional experience in AI engineering, machine learning engineering, or a similar technical role.
Strong proficiency in Python and hands-on experience with machine learning frameworks, libraries, and development tools.
Practical experience with Microsoft Azure and its capabilities for AI, machine learning, and data processing.
Solid understanding of MLOps principles, including CI/CD automation, model deployment, version control, and production monitoring.
Experience building and maintaining scalable, production-grade machine learning solutions.
Ability to collaborate effectively with cross-functional teams and translate technical and business requirements into practical AI implementations.
Strong analytical thinking, problem-solving abilities, and technical communication skills.

Obowiązki

Develop, implement, and optimize AI and machine learning solutions from initial prototyping through production deployment.
Build and manage ML workflows and data processing pipelines using Microsoft Azure services.
Use Python to develop machine learning applications, automate processes, and integrate AI models with existing systems.
Establish and maintain MLOps workflows, including model lifecycle management, automated deployment, performance monitoring, and model updates.
Work with data scientists, cloud engineers, software developers, and business stakeholders to deliver scalable AI solutions aligned with business objectives.
Evaluate model performance, identify opportunities for improvement, and ensure deployed solutions are reliable and maintainable.
Prepare and maintain technical documentation covering model architecture, implementation, deployment processes, and operational procedures.

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