Machine Learning Ops Engineer

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.