What is MLOps?
MLOps, short for Machine Learning Operations, encompasses a range of tools, practices, techniques, and a cultural approach. It combines the best principles from machine learning, software development (DevOps), and data engineering to address ML models’ unique challenges, such as version control, reproducibility, scalability, monitoring, and collaboration. Consequently, businesses can successfully integrate machine learning into their infrastructure, eliminate technical debt, and drive growth towards long-lasting achievements.
Why do companies need MLOps?
The need for MLOps services arises from the widespread incorporation of machine learning and artificial intelligence in business operations.Improve Model Performance and Scalability
Enhance Model Monitoring and Governance
Risk Mitigation and Model Robustness
Faster Time to Market
Cost Optimization and Resource Efficiency
MLOps Services We Offer
With our exceptional MLOps services, you can seamlessly integrate your ML models, efficiently deploy them on your MLOps platform, and achieve optimal performance.
Model Development and Training | TECVIFY’s experts excel in employing advanced algorithms and methodologies. We define your unique requirements and craft high-performing ML models that deliver accurate and meaningful results. |
Data Management and Preparation | MLOps services provide a range of sophisticated tools designed specifically for data preparation, leading to efficient data preprocessing and data augmentation. The process also includes integrating data quality control mechanisms into the ML pipeline, which mitigates issues like missing data, outliers, and biased data. |
Model Deployment and Monitoring | Utilize industry-leading tools and frameworks to seamlessly deploy ML models into production environments while considering scalability, security, and compatibility factors. Our seasoned team also provides robust monitoring mechanisms to track model performance, continuously enabling timely adjustments and improvements. |
Continuous Integration and Delivery | Offer robust CI/CD pipelines to automate building, testing, and deploying ML models with minimal manual intervention. Therefore, businesses can integrate new features, conduct thorough testing, and deliver ML models quickly and precisely. |
Infrastructure Management | We deliver a fully managed infrastructure service encompassing hardware, software, and networking resources. A dedicated team handles the complete management of infrastructure components, ensuring optimal performance and scalability for ML projects. |
Technologies We work with
TECHVIFY’s expert team leverages cutting-edge tools and techniques to optimize various aspects of machine learning (ML) projects, resulting in substantial benefits for businesses.
Open Source
Airflow | Kubernetes | Apache Beam | Feast |Metaflow |ONNX |OpenAI
Programming Languages
Python | Java | C++ | R | Julia| Scala
Frameworks
PyTorch | Seldon | Polyaxon | Cortex |Apache Hadoop |Apache Flink |Apache Spark
Platforms
Kubeflow | MLflow | TensorFlow Extended (TFX) | Snowflake | DataRobot |AWS SageMaker |Google Cloud AI Platform |Microsoft Azure Machine Learning
Why is TECHVIFY your key partner for MLOps services?
Backed by a team of seasoned professionals and industry-leading experts, TECHVIFY is a trusted partner of many valued clients with cutting-edge MLOps services. After years of experience in the industry, we have completed 200+ successful projects with over 95% client satisfaction.Let's delve into our approach!