DataOps/MLOps Engineer – Data, AI & Analytics | Tieto Tech Consulting (m/f/d)
Core
Build and operate CI/CD, testing, and monitoring for data pipelines and ML models in production for mid-sized Norwegian production companies.
Role type
DataOps/MLOps Engineer
Builds
Data platforms, predictive maintenance solutions, and GenAI-driven solutions for industrial customers.
Domain
Data & AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, CI/CD for data/ML, Pipeline orchestration (Airflow, ADF, Databricks), Automated testing & data quality, MLOps (model registry, deployment, monitoring), Cloud infrastructure (Azure/AWS/GCP), Infrastructure as Code (Terraform/Bicep), Docker, Kubernetes
Preferred skills
LLMOps/GenAI in production, IoT/OT/Time-series data
Technologies
dbt, Databricks Asset Bundles, GitHub, GitLab, Azure DevOps, Airflow, ADF, Databricks, Lakeflow Jobs, Fabric Data Factory, MLflow, Azure ML, Unity Catalog, Purview, Key Vault, AKS
Responsibilities
Establish and operate CI/CD, testing, and environment management for data pipelines and ML models; Ensure data and ML solutions are deployed to production in a secure, reproducible, and maintainable manner; Build monitoring and alerting for data quality, freshness, pipeline errors, and model performance; Automate platform and infrastructure through Infrastructure as Code; Establish MLOps and LLMOps practices; Explore and build agent-based AI infrastructure.
Seniority
Mid-Senior, hands-on IC
