TechCret
MLOps & Data Engineering background
Enterprise Solutions

MLOps & Data Engineering

Bridge the gap between data science and production. Our MLOps services ensure your machine learning models are deployed reliably, monitored effectively, and retrained automatically. We build robust data pipelines that handle petabyte-scale data with ease, ensuring your data scientists spend time modeling, not managing infrastructure.

Technology Stack

Built with the latest and most reliable tools.

Orchestration

K
Kubeflow

Tracking

MLflow logo
MLflow

Workflow

Apache Airflow logo
Apache Airflow
Prefect logo
Prefect

Platform

Databricks logo
Databricks

Data Warehouse

Snowflake logo
Snowflake

Streaming

Kafka logo
Kafka

Containerization

Docker logo
Docker

Distributed Compute

Ray logo
Ray

Versioning

DVC logo
DVC

Key Capabilities

End-to-End ML Pipelines
Model Monitoring & Drift Detection
Feature Stores & Data Versioning
Automated Retraining Workflows
Data Lakehouse Architecture
Real-time Inference APIs

Business Impact

Faster Time-to-Market

Accelerate model deployment from months to days with automated CI/CD for ML.

Reliable Production AI

Ensure 99.9% uptime for your critical AI services with robust monitoring and fallback strategies.

Scalable Infrastructure

Handle growing data volumes without performance degradation using modern data lakehouse architectures.

Ready to scale?

Let's discuss how our MLOps & Data Engineering expertise can drive your business forward.

Schedule Consultation

Frequently Asked Questions about MLOps & Data Engineering