AI/ML Engineer

ASSA ABLOY Global Solutions

gmina Zabierzów

On-site

PLN 200,000 - 360,000

Full time

14 days+

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Benefits offered by this job

Competitive salary and annual bonus
Private medical care and lifeinsurance
MyBenefit cafeteria system
In-house English classes and training
Weekly fruit delivery and meal stipend

Job summary

ASSA ABLOY Group is seeking an AI/ML Engineer to lead AI/ML initiatives across products, mentoring junior team members and shaping governance. You will drive the design of AI features and ensure best practices across the development lifecycle.

Through work with LLMs, AI APIs, and modern cloud/MLOps, you will build scalable, secure AI solutions while collaborating with international teams and contributing to responsible AI initiatives.

Qualifications

  • Minimum 5 years of experience in a software engineering role.
  • Solid understanding of ML fundamentals (training, evaluation, deployment).
  • Experience with large language models (LLMs) and AI APIs.
  • Degree in Computer Science, Software Engineering, or a related field.
  • Strong command of written and spoken English.

Responsibilities

  • Coordinate AI/ML activities and mentor team members.
  • Introduce AI tools and workflows to boost productivity.
  • Design and implement AI/ML features in products.
  • Select, fine-tune, and integrate models into production.
  • Ensure AI solutions are scalable, secure, and cost-efficient.
  • Build AI agents for code generation, testing, reviews, and analysis.

Skills

ML fundamentals
LLMs / AI APIs
Python
Java
Go
Cloud platforms
MLOps
Data pipelines
Agile development
English proficiency

Education

Bachelor's degree in Computer Science / Software Engineering or related field

Job description

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.

What you will do as our AI/ML Engineer:
  • Take a proactive leadership role in coordinating AI/ML activities, mentoring junior team members, and sharing expertise to elevate team performance.
  • 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 best practices for AI usage, governance, and responsible AI implementation.
The skills and experience you need
  • Minimum 5 years of experience in a software engineering role.
  • Solid 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.
  • Familiarity with Agile development workflows (Scrum, Kanban, XP).
  • Ability to work effectively in international teams, complete tasks with minimal supervision, and demonstrate creativity and a passion for learning.
  • Degree in Computer Science, Software Engineering, or a related field.
  • Strong command of written and spoken English.
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:
  • Opportunities to develop leadership skills – including mentoring, project ownership, and participation in strategic initiatives.
  • Competitive salary and annual bonus.
  • 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.
Our commitment to diversity and inclusion

We are building diverse, inclusive teams, and we value different perspectives and experiences. We encourage applications from everyone who can see themselves working with us.

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