Machine Learning Ops Engineer @JobCloud

Machine Learning Ops Engineer @JobCloud Are you ready to join a Swiss-based subsidiary - JobCloud - in Porto? Then apply today! We are excited to get to know you! APPLY TODAY! 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! 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 . 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! What do we need from you? We're seeking an experienced MLOps Engineer to build, scale, and maintain our machine learning/AI infrastructure. You'll bridge the gap between data science and production systems, enabling our ML teams to deploy models efficiently and reliably at scale. What you will be doing 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. What we are looking for Bachelor's degree or higher in Computer Science, Data Science, Engineering or related field 5+ years of experience in MLOps, DevOps, or related production ML roles Experience deploying ML/AI prototypes into production Excellent communication skills and ability to work cross-functionally Self-motivated with ability to work independently and manage multiple priorities Passion for automation and building reliable systems Detail-oriented with focus on code quality and best practices Hands-on experience with modern ML frameworks (PyTorch, TensorFlow, or similar) Familiarity with LLM frameworks, vector databases, and RAG architectures Strong experience with cloud platforms (AWS, GCP, or Azure) Experience with 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 Strong understanding of REST API design and implementation What we offer Experience the best of both worlds with our flexible work arrangement (full remote or hybrid). 25 days of annual vacation leave plus 10 days of fully paid sick leave. Fringes benefits: meal allowance, work-from-home allowance, gym allowance, private health insurance plan for yourself and 2 children. 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. A dynamic work environment that highly fosters a sense of fun while maintaining a productive atmosphere. A competitive salary. 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. About the company As Switzerland’s leading digital hub, with almost 80% of all Swiss consumer internet traffic passing across our websites and apps, we provide our media and platforms with enabling technology solutions, to drive their businesses. We stand for interdisciplinary collaboration, innovation, and dynamic development. We are on the move – and want to keep moving. We are farsighted. We are proactive. We are courageous. We are TX Group. JobCloud is part of TX-Group and the leading digital company for the Swiss employment market, best known for the job portals jobs.ch and jobup.ch that connect thousands of candidates with the right job every day. Our team of 300+ employees at JobCloud is devoted to a common mission, finding the right job for the right person. Working from Zurich, Geneva, Vienna, Belgrade and Porto, every team member brings their unique expertise, culture, and vision to our team daily. Seize this unique opportunity to enhance both the employer's and employee's experience in their pursuit of new career aspirations! There are simply moments in your career when it's essential to embrace a new culture and broaden your horizons. Come and check us out! Department Technology Locations Porto, Portugal Remote status Hybrid Porto, Portugal Why choose us? Teams working on TX Services projects are involved in all aspects of the product lifecycle, from initial inception to design, development, and delivery. We regard everyone as equal partners in a product's success, with a role to play in all parts of the process.