Machine Learning Engineering
Machine Learning is used to keep up with the ever-growing and ever-changing stream of data and deliver continuously evolving and valuable insights.
We can help you:
- Create and train an ML model for a specific business task
- Prepare the foundation for the deep data analysis and analytics
- Increase revenue and reduce operational costs by analyzing the available data
We offer industry solutions:
Custom ML Model Creation & Training
Automate your business processes and reduce operational costs - we can create, deploy, and train a custom machine learning model that would help you reach that goal..
Data Engineering
Prepare the ground for data analysis and data scientists by letting us create reliable data pipelines for you, combining information from various sources and transforming it.
Data Analysis and Science
Increase your revenue from business intelligence insights - we can create complex data analysis systems with visual dashboards to simplify your decision-making process.
Check our related case studies:
Real-time diagnostics
We have created with Google Cloud Platform developers and researchers from the University of Queensland an end-to-end streaming pipeline for pathogen detection on Google Cloud Platform.
Learn more>>
Affiliate Marketing
Custom-designed performance marketing system for interaction and cooperation with affiliates specifically targeted at mobile conversions This project has custom analytics dashboard
Learn more>>
Ad Anti-Fraud System
We created a system that can analyze big amounts of data in real-time and distinguish a bot from a real person and identify anomalies in behavioral models.
Learn more>>
ML Engineering Team:
- Solutions Architect
- Developer
- Business Analyst
- Data Scientist
- Applied ML Engineer
- Data Engineer
ML Engineering Process:
- Technical Audit & Research
- Documentation
- Development
- Deployment & Supports
Technologies and Frameworks
SQL, Jupyter, Python, R, Pytorch, TensorFlow, Google Cloud, AWS, GitHub, Docker, NewRelic, REST API, Apache Beam, Cloud PubSub, Pandas, Kubernetes
Expertise:
Read more in our blog:
Big Data and Machine Learning
Big data technology along with machine learning algorithms can increase the efficiency of business operations. How can they benefit particular industries
Read more>>
How to Use Machine Learning in Mobile App?
Machine learning opens new opportunities for revenue and improved customer experience. It is time to apply it to your business. Learn how in our guide.
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How Data Science Transforms Healthcare Industry in 2019
Modern healthcare equipment generates a lot of health data, and this is where ML and Big Data applications can help. Learn more about predictive analytics and ML in healthcare.
Read more>>