Senior AI/ML Engineer at Securitas Intelligent Services AB
Workplace: Malmö, Sweden
Expires: July 23, 2025
Join Securitas as a Senior AI/ML Engineer to develop and deploy advanced AI and machine learning solutions that enhance business operations and safety services. Collaborate with cross-functional teams to create scalable, reliable, and high-performing AI systems using the latest technologies including ML, Large Language Models, AI Agents, and Retrieval-Augmented Generation. Lead AI system design, manage data pipelines and infrastructure, and mentor junior team members while ensuring best practices in MLOps, software engineering, and DevOps.
Main requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field
- 5+ years of experience designing and implementing AI/ML solutions in production
- Experience with Microsoft Azure and Databricks or similar platforms for resource management and cost optimization
- Expertise in end-to-end AI solutions with machine learning algorithms and generative AI models
- Familiarity with Agile development, DevOps practices, and CI/CD best practices
- Strong software engineering skills for scalable and maintainable codebases
- Ability to troubleshoot production issues with minimal disruption
- Excellent communication skills to convey technical concepts to diverse stakeholders
Responsibilities:
- Design and develop scalable AI/ML systems incorporating cutting-edge technologies like LLMs, AI agents, and RAG
- Collaborate with Data Scientists and AI Leads to translate business requirements into technical AI solutions
- Lead AI system design, maintenance, and ensure production reliability and performance
- Develop robust data pipelines and infrastructure for data ingestion, processing, and model deployment
- Implement best practices in model training, validation, testing, and monitoring
- Mentor junior team members and provide technical leadership
- Communicate effectively with stakeholders and solve complex problems independently and collaboratively
Required hard skills:
- AI/ML solution development and deployment
- MLOps expertise
- Machine learning algorithms
- Generative AI models
- Microsoft Azure
- Databricks or similar data platforms
- Agile, DevOps, and CI/CD practices
- Software engineering principles
- Data pipeline and infrastructure development
- Model validation, testing, and monitoring
Recommended hard skills:
- Experience with Large Language Models (LLM)
- Knowledge of AI agents and Retrieval-Augmented Generation (RAG) techniques
Soft skills:
- Strong communication skills
- Problem-solving abilities
- Leadership and mentorship
- Collaboration in cross-functional teams
Natural languages:
- English (Proficient)
Cultural skills:
- Integrity
- Vigilance
- Helpfulness
- Diversity and inclusion
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