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Data and artificial Intelligence

The top 1% of data & AI engineers worldwide. The right skills for any challenge.

Find quality-assured talent you can rely on. 320+ vetted engineers, mastering 99+ Data science, Artificial Intelligence, Machine learning and Business intelligence competencies.

Apache Airflow Apache Airflow
Apache Kafka Apache Kafka
Apache Spark Apache Spark
AWS AWS
Azure Azure
BigQuery BigQuery
Databricks Databricks
dbt dbt
Hadoop Hadoop
Kubeflow Kubeflow
Microsoft Power Platform Microsoft Power Platform
MLflow
NumPy NumPy
Pandas Pandas
Python Python
PyTorch
Redshift Redshift
Scikit-learn Scikit-learn
Snowflake Snowflake
SQL SQL
Tableau Tableau
TensorFlow TensorFlow

580+

Engagements

320+

Data & AI engineers

2

days

Matching time

Find the right Data & AI engineers, across 99+ skills.

  • Popular skills
  • Business intelligence
  • Data engineering
  • Data science & AI
  • Machine Learning Engineering

Skip the search. Let us find your next Data & AI engineers.

Tech hiring, redefined. Vetted engineers, ready to go—fast, flexible, and risk-free.

Data science & AI
Machine Learning Engineering
Data engineering
Business intelligence
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Only senior professionals, extensively vetted

Skip the resume pile. Our network represents the elite 1% of software engineers worldwide, across 200+ tech competencies, with an average of eight years of experience—meticulously vetted and instantly available.

Application process

Our vetting process is one of the most rigorous in the industry. Over 20,000 developers apply each month to join our network, but only about 2-3% make it through. When a candidate applies, they’re evaluated through our Applicant Tracking System. We consider factors like years of experience, tech stack, rates, location, and English proficiency.

Screening interview

The candidates meet with one of our recruiters for an intro interview. This is where we dig into their English proficiency, soft skills, technical abilities, motivation, rates, and availability. We also consider our supply-demand ratio for their specific skill set, adjusting our expectations based on how in-demand their skills are.

Assessment

Next up, the candidate receives an assessment; this test focuses on real-world coding challenges and bug fixing, with a time limit to assess how they perform under pressure. It’s designed to reflect the kind of work they’ll be doing with clients, ensuring they have the necessary expertise.

Live coding

Candidates who pass the assessment move on to a technical interview. This interview includes live coding exercises with our senior engineers, during which they're presented with problems and need to find the best solutions on the spot. It’s a deep dive into their technical skills, problem-solving abilities, and thinking through complex issues.

Proxify member

When the candidate impresses in all the previous steps, they’re invited to join the Proxify network.

Stoyan Merdzhanov
“Quality is at the core of what we do. Our in-depth assessment process ensures that only the top 1% of developers join the Proxify network, so our clients always get the best talent available.”

Stoyan Merdzhanov

VP Assessment

Top talent in Data and artificial Intelligence

  • Data Science
  • Data Engineering
  • Machine Learning
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"With Proxify, we’ve been able to grow and work in a more flexible and creative way."

Sange Lee

Executive Vice President at Education First

Sange Lee

Over 5,000 professionals across 800+ competencies

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