Senior Machine Learning Engineer

Aimlroles; Porto; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Permanent contract

Private health insurance

22 days annual leave + 3 company days

Hybrid work model

Technical learning opportunities

Office in Porto

Descripción de la vacante

ISS Tech Team in Porto is seeking a Senior ML/AI Engineer to stabilise and evolve our AI platform, delivering production-grade GenAI solutions.

You will own the solution lifecycle, build GenAI applications, LLM/RAG workflows, and collaborate with cross‑functional teams to ship reliable, scalable systems in a hybrid work environment.

Formación

• Bachelor's or Master's degree in computer science, AI, or related field.
• 4+ years in AI/ML engineering; 2+ years deploying GenAI solutions.
• Hands-on with GenAI applications, multi-step agent workflows, RAG.
• Strong Python; backend services, APIs, integrations.
• Experience with LangChain/LangGraph or equivalent.
• Cloud deployment experience; containerization and CI/CD.
• Ability to design tests, identify failure modes, regression checks.
• Relational DBs (PostgreSQL) and vector search knowledge.
• Security, observability, and governance in production.

Responsabilidades

• Design, build, and maintain production GenAI solutions (LLM, RAG, agents).
• Own delivery across the solution lifecycle from requirements to deployment.
• Develop backend APIs, services, and integrations with enterprise data sources.
• Create evaluation approaches for quality, safety, and reliability; guide improvements.
• Maintain production solutions with monitoring, incident handling, and cost control.
• Apply sound software engineering practices: testing, version control, CI/CD, containers.

Conocimientos

Python

GenAI

LLM

APIs

CI/CD

Observability

Security

English

Educación

Bachelor's or Master's in CS/AI

Herramientas

LangChain

LangGraph

PostgreSQL

Vector search

Kubernetes

Descripción del empleo

Wantto 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, Portgal

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:

Design, build, and maintain production GenAI solutions, including LLM-based applications, RAG pipelines, and multi-step agent workflows.

• Own technical delivery across the solution lifecycle, from refining requirements and preparing data through architecture, implementation, evaluation, and deployment.
• Develop backend APIs, services, and integrations that connect AI capabilities with business systems and enterprise data sources.
• Build evaluation approaches that assess solution quality, relevance, safety, and reliability, using results to guide improvements.
• Own solutions in production, including monitoring, troubleshooting, incident resolution, and ongoing improvements to performance, latency, and cost.
• Apply sound software engineering practices, including automated testing, version control, CI/CD, containerisation, and clear technical documentation.
• Work within established platform, security, and governance standards, integrating with shared services and flagging gaps; where needed, contribute to specific AI platform components such as AI‑related gateway policies.
• Collaborate with technical and business colleagues to translate requirements into reliable solutions, communicate trade‑offs, and share knowledge with less experienced engineers.
• Assess emerging GenAI techniques and tools for their practical value to the team's solutions.

Key qualifications:

Must have

• Bachelor's or Master's degree in computer science, artificial intelligence, or a related field.
• 4+ years of experience in AI/ML engineering roles, including 2+ years developing GenAI solutions, with demonstrated ownership of production deployment and ongoing operation.
• Hands‑on experience building complex GenAI applications, including multi‑step agent workflows and retrieval‑augmented generation.
• Strong Python programming skills and experience developing production backend services, APIs, and integrations.
• Practical experience with orchestration frameworks such as LangChain, LangGraph, or equivalent tooling.
• Experience deploying and operating solutions in cloud environments, using containerisation and CI/CD.
• Practical experience evaluating GenAI systems, including designing test cases, assessing failure modes, and checking for regressions as solutions change.
• Solid knowledge of relational databases such as PostgreSQL, alongside experience with vector search and retrieval.
• Experience applying security, observability, and governance requirements within production solutions
• Strong written and spoken English.

Nice have

• Experience working with shared AI platforms, model gateways, proxies, or API management services.
• Exposure to AI‑specific platform controls, including rate limits, quotas, gateway policies, and cost monitoring.
• Experience integrating AI applications with enterprise systems and retrieving information across multiple data sources.
• Familiarity with platforms such as Databricks, Microsoft Foundry, or similar tooling.
• Experience with Kubernetes or infrastructure as code.
• Ability to help stakeholders refine problems and define measurable success criteria.

Personal skills:

• Strong technical judgement and a pragmatic approach to solving complex problems.
• Ownership and accountability for solution quality, reliability, and ongoing operation.
• Clear communication, including the ability to explain technical choices and trade‑offs to different audiences.
• A collaborative approach, openness to feedback, and willingness to support colleagues through knowledge sharing.
• Ability to manage competing priorities and adapt as requirements evolve.

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 ofcleaning, food, workplace and technical services, weare 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 customersto attract talent andgrow their businesses. This begins with our own people throughtraining, career development, and a supportive culture – empowering them to deliver outstanding service. We know that when our people thrive, they create spaceswhere our customers’ employees and businesses thrive too.

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.

Be who you are. Become what you want. Be part of something bigger.

Become more. Become ISS.