5 дней назад
Senior AI Software Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Software Engineer (Python/AI): Building and deploying AI-powered applications for logistics and supply chain operations with an accent on machine learning integration, scalable backend systems, and cloud-native delivery. Focus on integrating LLMs and AI services, designing production architectures, and optimizing reliability, performance, and maintainability.
Location: European Union; hybrid workplace with 100% remote work offered.
Company
AI transformation and technology consulting partner delivering secure, cloud-native platforms and software solutions for organizations across multiple industries.
What you will do
- Design, develop, and deploy AI-powered applications using Python.
- Integrate machine learning models, AI APIs, intelligent algorithms, and enterprise services into scalable backend systems.
- Collaborate with data scientists, product managers, and software engineers to deliver AI-driven features.
- Contribute to architecture, system design, and technical decisions for AI-enabled products.
- Build CI/CD pipelines and containerized environments with Docker, and deploy applications to AWS, Azure, or GCP.
- Optimize solutions for scalability, performance, reliability, and maintainability while evaluating emerging AI technologies.
Requirements
- 5+ years of professional software development experience focused on integrating AI/ML solutions into production applications.
- Strong programming skills in Python or Java.
- Hands-on experience with TensorFlow, PyTorch, scikit-learn, or Hugging Face Transformers.
- Understanding of machine learning, data engineering, ETL, model deployment, SQL, and large-scale datasets.
- Experience with Docker, CI/CD, cloud platforms, RESTful APIs, and AI service integration.
- Experience with LLMs, vector databases, prompt engineering, or AI agents, plus strong analytical, communication, and collaboration skills.
Nice to have
- Experience with React, Angular, or Vue.js.
- Knowledge of MLOps tools and practices.
- Familiarity with Kubernetes, infrastructure as code, or microservices architectures.
Culture & Benefits
- Remote-work allowance and financial support for working from home.
- Career development program with 360-degree feedback.
- Allocated time and budget options for technical training, English classes, books, conferences, and events.
- Mentoring program and access to wellbeing services, including mental health, nutrition, physiotherapy, and fitness support.
- Multicultural environment with technical events, webinars, and online team activities.
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