Artificial Intelligence Community
Who we are
ONE OF THE YOUNGEST COMMUNITIES
There’s no better place for you to grow. Let’s grow together!
WE COVER EVERYTHING AROUND AI
Data Analysis and exploration, Machine Learning model development & deployment
ONE OF THE HIGHEST GROWING COMMUNITIES
Deep and wide knowledge base
WORKING WITH REALLY EXPERIENCED ENGINEERS
Great Chance to learn and share ideas
WE ARE CRAFTING AI SOLUTIONS
For clients from Fortune 500, in domains like Healthcare, Automotive, Fintech and Retail.
EXPERIENCE A TRUE SENSE OF COMMUNITY
There’s no better feeling than feeling like you’re at home, while at work.
Our AI Ecosystem
If you’re passionate about AI and Machine Learning, then our community is the right place for you, whether you’re a data scientist or a machine learning engineer.
The technology spectrum is continuously evolving, so what matters the most is your drive to keep yourself up-to-date.
Most of the projects that we tackle are now on Cloud and we usually build end-to-end AI solutions, using a variety of the below technologies:
- Cloud providers ML studios: AWS SageMaker, Azure ML Studio, GCP
- Platform-specific models for : Android, iOS and Web Apps (Client-side inference)
- Data preprocessing (depending on the type of data): Spark, Pandas, Numpy, OpenCV
- ML Frameworks: TensorFlow, PyTorch
- Model deployment: TensorFlow Serving, TorchServe, Custom endpoints (FastAPI/Flask)
- Programming Languages: Python, C++
- Reporting: Tableau, PowerBI, Dash
Do you have experience with machine and deep learning solutions? If you’ve been part of ML projects, you can join us as well and we’ll help you transition to newer machine learning technologies through our carefully crafted trainings.
Projects where you can have an impact
GERMAN AUTOMOTIVE COMPANY
One of our customers is a German Automotive Company. We help the company steer towards a data-driven, AI-led company, by implementing and maintaining ML models on their platform. Their main objectives are data democratization and the culture of self service. We’re talking about data from mileage, speed, consumption, RPM, engine faults, driver behavior, road driving patterns and car components that we need to process and carefully tailor for the machine learning models. To accomplish that, we’re using S3, Glue, Lambda, Kinesis, Athena, Codepipeline, CLI, PySpark and Terraform together with AWS SageMaker for the machine learning solutions.