Senior Machine Learning Engineer

Job description

Want to know how a leading workplace experience and facility management company is powered by technology? At ISS Tech Team, we create smarter workplace experiences through technology. Our Global Technology Solutions team builds digital solutions, from sensors and IoT devices to data, analytics and AI-driven capabilities, that support our ISS A/S operations across Cleaning, Workplace, Food and Technical Services. With tech hubs in Copenhagen, Warsaw, and Porto, and teams collaborating across more than 30 countries, our ISS Tech team develops our digital solutions that have a real impact on both our customers and our people. Location: Porto, Portugal Work regime: Hybrid Job Role as Senior Machine Learning: We are looking for a Senior ML/AI Engineer to help stabilise and evolve our AI platform while developing and maintaining production-grade Generative AI solutions. During the first 6–12 months, the role will focus primarily on helping to mature the existing platform, including guardrails, model access controls, API gateways, token usage, cost monitoring, observability and production readiness. As the platform becomes more established, the role will increasingly contribute to the design, delivery and ongoing improvement of LLM, RAG and agent-based solutions. This is a hands-on engineering role combining AI application development, backend and platform engineering, and production operations. Joining our Facility Management domain means solving complex, real challenges that have a tangible impact on workplaces and everyday experiences for hundreds of thousands of users. If you're driven by ownership, innovation, and building technology that matters, we'd like to hear from you. What you’ll do: Help stabilise, mature and evolve the AI platform supporting production LLM, RAG and agent-based solutions. Implement and maintain guardrails, access controls and policy enforcement across models, prompts, agents and tools. Improve platform controls for authentication, rate limiting, token usage, quotas, model access and cost monitoring. Support shared AI platform services, including LLM gateways, model routing, vector search and orchestration. Improve CI/CD, deployment automation, observability, versioning, rollback and production-readiness practices for AI workloads. Work with DevOps and platform engineering teams to deploy and operate AI services across cloud and Kubernetes environments. Design, build and maintain GenAI solutions, including RAG pipelines, agent workflows, backend APIs and reusable services. Diagnose production issues and contribute to technical standards for secure, reliable and maintainable AI systems. Key qualifications: Must have Strong experience in AI engineering, backend engineering, platform engineering or ML platform roles. Strong Python skills and experience building production-grade APIs, backend services and integrations. Hands-on experience developing or operating production GenAI solutions using cloud-hosted or open-source language models. Experience with LLM, RAG or agent-based systems and an understanding of their production challenges. Experience implementing platform controls such as authentication, rate limiting, quotas, token management, cost monitoring or policy enforcement. Experience with cloud platforms, containerisation, Kubernetes and production observability. Experience with CI/CD, deployment automation and reliable software release practices. Knowledge of relational databases and experience with vector search or vector databases. Strong written and spoken English. Nice have Experience with orchestration frameworks such as LangChain, LangGraph or similar tooling. Experience with vector technologies such as pgvector, FAISS, Pinecone, and Weaviate Exposure to AI platforms such as Databricks, Microsoft Foundry, Azure AI, AWS Bedrock or Google Vertex AI. Experience with LLM gateways, model routing, fallback strategies or multi-provider architectures. Understanding of AI evaluation, prompt-injection testing, responsible AI, security governance or FinOps controls. Personal skills: Strong problem-solving skills and a practical approach to platform, application and reliability challenges. Comfortable working across AI application development and platform engineering. Clear communicator who can work effectively with technical and non-technical stakeholders. Strong sense of ownership, with a focus on quality, security and reliability. Comfortable influencing technical decisions and supporting the development of other engineers. Curious and pragmatic, with an interest in emerging AI technologies and production-ready delivery. What ISS Offers You: We focus on creating an environment where you can grow and perform at your best: Permanent contract. Competitive compensation package based on your experience, including private health insurance. 22 days of annual leave + 3 additional company days to recharge. Flexible working hours and a hybrid model that supports balance and collaboration. Continuous learning opportunities (technical and behavioural development) to support your growth. Modern, well-equipped office in the heart of Porto. Free parking for your convenience. Access to ISS Tech Communities to connect, learn and share knowledge. Free access to the company gym to support your wellbeing. Snacks and drinks available at the office. Why ISS At ISS, we are more than just a service provider of cleaning, food, workplace and technical services, we are a partner in our customers’ success. By creating exceptional service moments and transforming workplaces into spaces where employees feel valued, engaged and productive, we enhance productivity and help our customers to attract talent and grow their businesses. This begins with our own people through training, career development, and a supportive culture – empowering them to deliver outstanding service. We know that when our people thrive, they create spaces where our customers’ employees and businesses thrive too. ISS is a Place to Be You. Be who you are. Become what you want. Be part of something bigger. Become more. Become ISS. ISS seeks to BE a place of belonging and CREATE places where every person is welcomed, embraced, and valued for exactly who they are. Places where people feel safe, respected, represented, and supported as their authentic selves. #LI-Hybrid