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.
Requirements
- 5+ 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 AI
- Advanced programming skills in Python or Rust
- Experience building scalable ML pipelines (training, validation, deployment)
- Hands-on experience with AWS / Azure / GCP
- Experience with Kubernetes, Docker, and CI/CD
- Knowledge of Kubeflow, Airflow, Argo, or similar orchestration tools
- Experience with model registries and feature stores
- Experience deploying DL models using PyTorch or TensorFlow
- Experience building REST APIs (FastAPI or similar)
- Experience with GenAI agents (LangChain 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 Us
At 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.
