AI/ML Engineer
# AI/ML Engineer **ASSA ABLOY Group** · 117 59 Stockholm · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### About the Role ASSA ABLOY Group is a global leader in access solutions, powering secure identities for millions worldwide. Our brands deliver innovative products and services for physical and logical access control, secure authentication, and identity management. We foster a collaborative, inclusive, and dynamic work environment where creativity, learning, and career growth are encouraged. As an AI/ML Engineer you will drive the adoption of artificial intelligence across our products and internal engineering workflows. Join our skilled, international team of developers based in Stockholm (Sweden) or Krak ó w (Poland) , dedicated to building next-generation products and access control systems. The Role: In this role, you will design, build, and deploy AI-powered product features while also enabling developers to work more efficiently through AI-assisted coding, agent-based systems, and automated workflows. You will work at the intersection of machine learning, software engineering, and product development, turning cutting-edge AI capabilities into practical, scalable solutions that deliver real business value. What you will do as our AI/ML Engineer: Introduce AI tools and workflows that improve developer productivity and code quality. Design and implement AI/ML features embedded directly into our products. Select, fine-tune, and integrate models (LLMs, classical ML, or hybrid approaches) into production systems. Ensure AI solutions are scalable, reliable, secure, and cost-efficient. Build and maintain AI agents to assist with tasks such as Code generation and refactoring, Test creation, Code reviews and static analysis. Help to iterate and improve on best practices for AI usage, governance, and responsible AI implementation. The skills and experience you need: Experience in software engineering and a good understanding of ML fundamentals (training, evaluation, deployment). Experience working with large language models (LLMs) and AI APIs. Programming experience (Python, Java, Go, or similar). Familiarity with cloud platforms and MLOps practices. Understanding of data pipelines, feature stores, and monitoring. Ability to work effectively in international teams (English fluent), demonstrate creativity and a passion for learning. Degree in Computer Science, Software Engineering, or a related field. Nice to have: Experience building multi-agent or tool-using AI systems. Knowledge of security evaluation methodologies, cryptography, Secure Elements, secure access control, identification, authentication, and PKI. What we offer: Private medical care, life insurance, and MyBenefit cafeteria system. In-house English classes, training budget, and broad learning and career development opportunities. Additional perks: weekly fresh fruit delivery, meal allowance, and discounts on company products. Apply today ! We review applications regularly, so don’t wait. We review applications continuously and will be moving forward with suitable candidates throughout the process. To make sure your personal data is safe, we don't review applications sent by email or post. If you have any questions about the role or the process, please contact Léa Rein, Senior Talent Acquisition Business Partner at lea.rein@assaabloy.com Depending on the risk profile for the role, a background screening may need to be performed. Final candidates may therefore be subject to a background screening. The performance of a background check is subject to consent and based on our Applicant Privacy Notice. Let’s create a safer and more open world - together! We are the ASSA ABLOY Group Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 63,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access. As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences. #LI-WGIE
Наблюдалась 2026-09-21, впервые 2026-09-21, источник — Indeed.