ML ops and data pipeline services for enterprise cloud deployments
Orbion Infotech is a 11–50 person engineering services firm based in Jaipur, India, focused on production ML and data infrastructure. The stack—Databricks, Delta Lake, MLflow, Kubernetes, and multi-cloud (AWS, Azure, GCP)—paired with active adoption of containerization and CI/CD tooling signals deep infrastructure engineering work. Hiring is accelerating with 20 roles posted in the last 30 days, almost entirely senior and mid-level engineers, matching their core challenge: operationalizing ML models and data pipelines at scale for enterprise customers.
Orbion Infotech delivers custom software development, staff augmentation, and technology consulting, with a visible concentration on ML ops and cloud-native data infrastructure. The company serves enterprise organizations moving workloads to multi-cloud environments and building production ML systems. Projects span predictive model deployment, scalable data pipelines, ServiceNow implementations, and CI/CD automation. The engineering-led hiring mix and project list indicate the firm is positioned as a hands-on delivery partner for data and ML platform buildouts, not a staffing broker.
Core: Databricks, Delta Lake, MLflow, Python, PyTorch, TensorFlow, PySpark, SQL. Cloud: AWS, Azure, GCP. Infrastructure: Kubernetes, Docker, Terraform, Jenkins, GitHub Actions, GitLab CI/CD. Data: Kafka, RabbitMQ.
Production ML model deployment, scalable data pipelines, cloud-first architecture, ServiceNow telecom implementations, CI/CD automation, and cloud-native integration services.
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