Mlops Engineer

2 semanas atrás


Lisboa, Portugal Adentis Portugal Tempo inteiro

A Company you will be happy to grow with At InnoTech, it´s all about connecting people with business through technology. We care about you, your happiness, and your well-being. We seek people who want to learn and further improve their skills with us – growth is part of our DNA, and that's why we're proud to be certified as a Great Place to Work and to be among the Top 50 Best Workplaces in Portugal For us, sustainability is not just a word. Integrity and social responsibility lead our behavior. We dare to be different, ambitious, dream big, and deliver value like no other You will have the opportunity to work with top-level partners in the banking area, insurance, retail, telecommunications, financial services, and so much more We are 180+ InnoTechers, and we want your talent as an MLOps Engineer. Your Mission Will Be: Deploy and manage machine learning models in production with scalability and reliability in mind; Ensure reproducibility and continuous monitoring across the entire ML lifecycle; Bridge the gap between Data Science, Software Engineering, and DevOps; Automate workflows for model training, validation, and deployment; Maintain highstandards for performance, security, and compliance. You Will Need: Minimum of 2 years' experience in similar roles; Solid programming skills in Python, Go, Bash, and SQL; Experience with model serving tools such as TensorFlow Serving, TorchServe, MLflow, Seldon, or BentoML; Proficiency in orchestration and CI/CD platforms like Kubeflow, Airflow, Prefect, Jenkins, or GitHub Actions; Strong knowledge of containerization and infrastructure management with Docker, Kubernetes, and Helm; Fluencyin Portuguese and residence in Portugal; CPLP nationality or an EU work permit is required to facilitate employment. Would Be Awesome If You Have: BSc or MSc in Computer Science/Engineering, Information Technology, or related fields; Hands-on experience with monitoring solutions (Prometheus, Grafana, Evidently AI, WhyLabs); Familiarity with experiment tracking tools (MLflow, Weights & Biases, Neptune.Ai); Exposure to cloud ML services such as AWS Sagemaker, GCP Vertex AI, or Azure ML. With Us You Can Be a: TechThinker – people who want to re-imagine technology with us; TechSolver –strategic, resilient, and a little bit of a puzzle lover; InnoMinder –inhale innovation, exhale digital transformation; InnoTecher –no words needed. Just happiness, talent, and all the above Are you convinced? Come see it for yourself. Join our Top-Notch Team


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