Machine Learning Ops Engineer

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!

YOUR TASKS

• 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

• 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
• Strong hands-on experience investigating and resolving ML workload failures in Linux environments using standard process, resource, logging, filesystem, service-management, and networking tools.
• 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

• 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