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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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По международному рынку данных пока нет
На СНГ рынке: $3.6к/мес ($2.7к - $4.6к)
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Чётко описанная инженерная роль включает работу с production-решениями на базе LLM и MLOps, но клиентский консалтинг может означать смену проектов и меньшую непрерывность.
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Работа с клиентамиСовременный стекСфера искусственного интеллектаПоддержка развития
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (Data Science/Artificial Intelligence): Develop production-ready AI solutions and industrialize machine learning systems with an accent on generative AI, LLMs, MLOps, and cloud-based analytics platforms. Focus on building agentic AI workflows, reusable LLM components, and scalable systems using Python, Docker, Kubernetes, and cloud AI services.
Location: Cairo, Egypt; hybrid
Company
hirify.global is a global consulting firm dedicated to Data, Analytics, and AI solutions, delivering tailored AI and machine learning systems across industries.
What you will do
Develop AI solutions from business objective discovery through production deployment, including generative AI and large language models.
Industrialize traditional machine learning and generative AI systems using MLOps practices for scalability and reliability.
Design and implement cloud-based advanced analytics platforms for large-scale data science operations.
Build agentic AI workflows and reusable LLM components.
Use cloud tools, APIs, and SDKs from OpenAI, Google Gemini, and Anthropic Claude to develop and deploy AI/ML solutions.
Requirements
Degree in Computer Engineering, Telecommunications Engineering, Software Engineering, or a related technical discipline.
At least 4 years of experience as a machine learning engineer or in a similar role, including hands-on development and deployment of AI and ML solutions.
Real-world experience with LLMs and generative AI techniques.
Strong understanding of data science fundamentals, solution lifecycles, and MLOps practices.
Experience with multi-component and agentic AI patterns.
Proficiency in software development and AI/ML system implementation using Python, R, Docker, and Kubernetes.
Familiarity with LangGraph, Pydantic, Azure Databricks, MLflow, Google Vertex AI, and cloud-native LLM hosting and tuning platforms.
Nice to have
Experience in data and analytics consulting or delivering AI, ML, or LLM-based solutions to clients.
Data engineering experience and understanding of its impact on generative and predictive model performance.
Hands-on experience with Azure, AWS, and GCP for infrastructure, data pipelines, and monitoring AI/ML and LLM systems.
Certifications in ML system development or cloud AI platforms, including Azure AI Engineer Associate, AWS Machine Learning Specialty, or Google Cloud ML Engineer.
Training in LLMs and generative AI.
Culture & Benefits
Full-time hybrid position based in Cairo.
Work on impactful projects with industry leaders across multiple industries and business contexts.
Access to continuous learning, development opportunities, and customized career plans.
Collaborate with multidisciplinary Data, Analytics, and AI specialists.
Work in an inclusive environment focused on solving complex AI challenges.
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