MLOps EngineerWe have a dream: to change industries through the power of digital technology. At Intellias, you will work with top-tier engineers to build and deploy cutting-edge machine learning solutions that bring AI models into real-world production at scale.You will join a dynamic team focused on designing and maintaining robust MLOps infrastructure for deploying and managing ML/AI systems across cloud environments, enabling the next generation of intelligent products.Requirements5+ years of experience in MLOps, ML engineering, or similar rolesMaster’s or higher degree in Computer Science or related fieldStrong experience in Computer Vision, NLP, or Generative AIAdvanced programming skills in Python or RustExperience building scalable ML pipelines (training, validation, deployment)Hands-on experience with AWS / Azure / GCPExperience with Kubernetes, Docker, and CI/CDKnowledge of Kubeflow, Airflow, Argo, or similar orchestration toolsExperience with model registries and feature storesExperience deploying DL models using PyTorch or TensorFlowExperience building REST APIs (FastAPI or similar)Experience with GenAI agents (LangChain or similar) and LLM evaluation/observabilityKnowledge of Infrastructure as Code (Terraform)Strong communication and collaboration skillsNice to HaveExperience deploying LLMs on-premGCP ML Engineer certificationIndustry experience in retail, finance, healthcare, telecom, energy, or manufacturingExperience with data science projectsResponsibilitiesLead and support technical POCs and ML projectsDesign and improve MLOps architectures following best practicesSupport discovery phases and technical consultingCollaborate on presales and upsales activitiesContribute to knowledge sharing and public speaking initiativesWhy Join UsAt Intellias, people come first. We foster a culture where innovation thrives, enabling engineers to work on impactful AI solutions while continuously growing their expertise in a supportive and forward-thinking environment.