MLOps Services
Machine Learning Consulting Company
As organizations leverage ML and AI to gain valuable insights, automate processes, and enhance decision-making, the effective management of machine learning models becomes paramount. At FACILITY, we specialize in providing top-notch MLOps services for many big corporations to stay at the forefront of innovation and achieve long-term success.
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.
01
Improve Model Performance and Scalability
Data science teams conduct feature engineering and hyperparameter tuning to optimize the ML model effectively. Therefore, you can scale the model training and infrastructure to handle increasing volumes of data and user demands.
02
Enhance Model Monitoring and Governance
MLOps services offer firms real time model monitoring and help maintain compliance standards. ML tools detect data pattern shifts and provide audit trails, which facilitate the governance of machine learning systems.
03
Risk Mitigation and Model Robustness
Financial and healthcare institutions can significantly benefit from MLOps standardized workflows for the deployment pipeline, ultimately mitigating risks and ensuring accurate data.
04
Faster Time to Market
MLOps as a Service provides access to a range of pre-built tools, frameworks, and best practices to accelerate time to market. These tools streamline model versioning, experimentation, and deployment, eliminating the need for organizations to build these capabilities from scratch.
05
Cost Optimization and Resource Efficiency
MLOps services prioritize infrastructure optimization for ML projects, assisting organizations in choosing the right cloud services or on-premises resources tailored to their specific requirements. This strategic selection ensures optimal resource utilization, effectively minimizing unnecessary costs.
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
FACILITY’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
FACILITY’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
Our Clients
Why Choose Our Offshore Development Center?
No more wasting time, only better results. We help you to own a dedicated tech team in Vietnam, so you do not have to worry about the offshore HR processes of recruitment, onboarding, benefits, payroll, and others.
01
End-to-end Services
Guarantee your company's optimum performance and ongoing improvement by efficiently managing the entire ML lifecycle, from data collection to model building, deployment, and monitoring.
03
Data Security
Our rigorous security measures, such as encryption, access controls, and routine audits, guarantee the continuous safety of your data. Trust us to handle sensitive information with the utmost confidentiality and adhere to industry standards.
02
Our Expertise
FACILITY’s data scientists and AI engineers possess extensive knowledge and experience in various domains, comprising predictive analytics, computer vision, and natural language processing.
04
Cost and Value
FACILITY ensures cost-effective solutions of uncompromising quality, optimizing resources and processes to maximize return on investment. Our efficient MLOps services accelerate project timelines, reduce operational costs, and enhance business outcomes, giving you a competitive advantage in the market.