Machine Learning Engineer

Description

Summary: Join a global technology team building AI-powered products, focusing on developing and deploying cutting-edge machine learning models and solutions. Highlights: 1. Contribute to building and improving LLM-based systems for conversational AI 2. Support end-to-end MLOps pipelines for LLM applications 3. Collaborate with cross-functional teams to drive innovation **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 **The Job Role as Machine Learning Engineer:** We’re building AI\-powered products such as our conversational analytics assistant and are looking for a Machine Learning Engineer to help take models from experimentation to scalable, production\-grade systems. As a key member of our Data Science and AI Solution team, you will play a crucial role in developing and deploying cutting\-edge machine learning models and solutions. You'll collaborate closely with our data scientists, software engineers, and DevOps professionals to drive innovation and bring our AI\-powered products to life. **What you'll do:** * Contribute to building and improving LLM\-based systems powering conversational AI and analytics use cases, including multi\-agent pipelines and RAG architectures. * Support end\-to\-end MLOps pipelines for LLM applications, covering deployment, versioning, CI/CD, monitoring, and retraining. * Work with DevOps teams to ensure seamless integration of machine learning components into production systems. * Collaborate with cross\-functional teams to gather requirements, analyse data, and support the development of solutions that drive actionable insights. * Maintain and contribute to ML infrastructure on Cloud. * Explore new tools and technologies to enhance the efficiency and effectiveness of our AI systems. * Stay up to date with the latest advancements in LLMs and AI to help contribute to the team's innovation roadmap **Key qualifications:** **Must have:** * Academic background in computer science, data science, machine learning, or a related field (Bachelor's or Master's degree). * Experience in machine learning engineering, AI development, or a related role. * Comes with solid knowledge of Python. * Comes with solid knowledge of relational databases, such as PostgreSQL. * Exposure to designing or deploying machine learning or AI models, whether in production or project settings. * English proficiency, both written and spoken. **Nice to have:** * Experience with LLMs, prompt engineering, or RAG pipelines. * Familiarity with LangChain / LangGraph frameworks. * Familiarity with vector databases (e.g., FAISS, pgvector) or embedding models. * Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerisation technologies. * Exposure to Data/AI Platforms such as Databricks or Microsoft Foundry. * Understanding of backend / API development. **Personal skills:** * Strong problem\-solving skills with a proactive approach to tackling challenges. * Clear communicator, able to work effectively with both technical and non\-technical stakeholders. * Curious and eager to learn, with a genuine interest in the fast\-moving AI landscape. * Collaborative and open to feedback, comfortable working across teams. **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**