Build an Expert Data Science Team

Here's the best kept secret for
finding data experts.

Demand for AI, ML, Analytics & Data Engineers is 5X the supply

How will you find quality data experts to run your AI projects? 

Build a World-Class Data Team In Just a Few Days

Learn How Your Growing Company Can Build and Retain AI, Machine Learning, Data Analytics and Data Engineering Teams In a Fast and Cost-Effective Way.

  • Stop competing with Silicon Valley giants
  • Hire the top 1-3% rigorously vetted engineers in the world
  • Tap into continuously up-skilled data experts
  • Get your data and AI projects back on tack
  • Support your entire AI development cycle with exceptional engineers

The Right Skills. The Right Roles.

Machine Learning Engineering

Data Engineering

Data Analytics Engineering

Data Analysis & Visualization

  • Role:  Define and deploy AI models; ensure their usefulness in production.  
  • Top Tools & Skills:  Swift, Go, Python, TensorFlow, Pytorch, Recurrent, Convolutional and Attention Architectures, NLP, Computer Vision, Time Series Forecasting.

Role:  Manage the entire data lifecycle from various sources and prepare the data for the team when AI models are deployed. 

Top Tools & Skills:  SQL, Spark, Hive, Airflow, MongoDB, Cassandra, Hadoop, and various AWS services (Glue, Redshift, EMR, DynamoDB)

  • Role:  Provide clean, tested and documented data sets and data models to end-users across the entire organization. 
  • Top Tools & Skills:  Snowflake, Airbyte, dbt, SQL, Perfect, Python, Looker, Hex.
  • Role:  Analyze data trends; identify key data insights; ensure business value is delivered by AI projects.  
  • Top Tools & Skills:  Pandas, Scikit-learn, Spark, Tableau, Cube.js, AWS Quicksight, AWS Redshift