MLOps Engineer Build the bridge from model to production.

Description

Summary: Join JobCloud as an MLOps Engineer to build scalable infrastructure for ML models, transforming prototypes into reliable systems and revolutionizing the European Job Ads Market. Highlights: 1. Revolutionize the European Job Ads Market with AI/ML solutions 2. Design and maintain end-to-end ML pipelines 3. Work with Kubernetes, CI/CD, LLM frameworks, and cloud platforms ### **Love what you do – we make employment happen!** Are you a passionate **MLOps Engineer** eager to take on a new challenge that has the potential to **revolutionize the European Job Ads Market**? Then keep reading! Great models are worthless if they never make it into production. That's where you come in: as our MLOps Engineer, you build the infrastructure that turns prototypes into reliable, scalable systems serving millions of job seekers. You'll design end\-to\-end ML pipelines, keep models fast and stable in production, and set the standards our data scientists build on. Kubernetes, CI/CD, LLM frameworks and cloud platforms are your daily tools, not buzzwords. If you love automation and take pride in systems that just work, keep reading. We are **JobCloud**, Switzerland nº 1 brand and experts in the job ads market, and we seek your expertise, ideas, and human skills to build our **brand new software** while cultivating our dearest value **“Love what you do.”** in our newly established company in **Porto, Portugal \- known as JobCloud HR Tech Unipessoal Ltd.** A decade ago **JobCloud** conceived a concept ahead of its time \- a product designed to efficiently manage and optimize the usage of the customer’s hiring budget while identifying the optimal channels to maximize the visibility of job ads (AI/ML are key to optimizing this process) and effectively reach the target public (potential employees). **Today our mission is to revolutionize** the industry standard shifting away from the current job ads paradigm of Pay per Duration toward Pay per Performance. What was once merely a concept is now on the cusp of becoming a reality! * Porto * Permanent * IT * 01\.05\.2026 * Full\-time YOUR TASKS p.p1 {margin: 0\.0px 0\.0px 0\.0px 0\.0px; font: 11\.0px Menlo; color: \#000000} span.s1 {font\-variant\-ligatures: no\-common\-ligatures} Design, build, and maintain end\-to\-end ML pipelines from data ingestion to model deployment and monitoring Collaborate with data scientists and cloud engineers to productionize ML models and establish best practices Develop and maintain model serving infrastructure with focus on scalability, reliability, and low latency Manage ML experiment tracking, model versioning, and model registry systems Monitor model performance in production and implement alerting systems Implement security best practices for ML systems and ensure compliance with data governance policies Document MLOps processes, architecture decisions, and runbooks YOUR SKILLS p.p1 {margin: 0\.0px 0\.0px 0\.0px 0\.0px; font: 11\.0px Menlo; color: \#000000} span.s1 {font\-variant\-ligatures: no\-common\-ligatures 5\+ years of experience in MLOps, DevOps, or related production ML roles, including deploying ML/AI prototypes into production Strong experience with cloud platforms (AWS, GCP, or Azure) and cloud data warehouses, SQL/NoSQL databases and real\-time data pipelines Hands\-on experience with container orchestration (Kubernetes, ECS, or similar) Proficiency with CI/CD pipelines, Infrastructure as Code, and version control Hands\-on experience with modern ML frameworks (PyTorch, TensorFlow, or similar); familiarity with LLM frameworks, vector databases, and RAG architectures is a plus Passion for automation and building reliable, well\-crafted systems Excellent communication skills and ability to work cross\-functionally in an independent, self\-organized way OUR OFFER 1 day per month to tackle challenges inside the project, or test new ideas Tech training and human skills training and, budget for conferences Opportunity to travel and collaborate in our various office locations for workshops or team\-building events (Zurich, Geneva, Belgrade or Vienna) A dynamic work environment that highly fosters a sense of fun while maintaining a productive atmosphere BENEFITS 10 days fully paid sick leave per year 25 days of annual vacation leave Full private health coverage (employee \+ up to 2 children to age 20\) Gym allowance Hybrid \& flexible working (team\-based arrangement) YOUR CONTACT PERSON Our Hiring Process Presentation of the project and company \~ 30 mins Conversation with hiring manager \~ 1 hour Technical challenge (at your best convenience) Challenge presentation \~1h\-1\.5 hour Offer Marina Faria Senior Talent Acquisition Partner \+41 79 349 32 51