MLOps Engineer We 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 roles Master’s or higher degree in Computer Science or related field Strong experience in Computer Vision, NLP, or Generative AIAdvanced programming skills in Python or Rust Experience 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 tools Experience with model registries and feature stores Experience deploying DL models using PyTorch or Tensor Flow Experience building REST APIs (Fast API or similar) Experience with Gen AI agents (Lang Chain or similar) and LLM evaluation/observability Knowledge of Infrastructure as Code (Terraform) Strong communication and collaboration skills Nice to Have Experience deploying LLMs on-prem GCP ML Engineer certification Industry experience in retail, finance, healthcare, telecom, energy, or manufacturing Experience with data science projects Responsibilities Lead and support technical POCs and ML projects Design and improve MLOps architectures following best practices Support discovery phases and technical consulting Collaborate on presales and upsales activities Contribute to knowledge sharing and public speaking initiatives Why 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.