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Données et intelligence artificielle

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 100+ 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 Kubeflow Kubeflow Microsoft Power Platform Microsoft Power Platform MLflow NumPy NumPy PyTorch PyTorch Snowflake Snowflake Tableau Tableau TensorFlow TensorFlow AB Initio AB Initio Apache Flink Apache Flink Apache Hive Apache Hive Apache Iceberg Apache Iceberg Apache NiFi Apache NiFi Apache ZooKeeper Apache ZooKeeper APL APL AWS Athena AWS Athena AWS Kinesis AWS Kinesis Azure Blob storage Azure Blob storage Azure Data Factory Azure Data Factory Azure Queue Azure Queue BeautifulSoup BeautifulSoup Caffe Caffe Cassandra Cassandra ClickHouse ClickHouse Cloudera Cloudera Crystal Reports Crystal Reports Dagster Dagster Data Engineering Data Analytics Data Modeling Data Science Dlib Dlib Dremio Dremio DuckDB DuckDB EasyNetQ EasyNetQ ELT Fortran Fortran GNU Octave GNU Octave Hadoop Hadoop HBase HBase Informatica Informatica Jakarta Jakarta Julia Julia Keras Keras Logstash Logstash
Machine Learning Machine Learning Maple Maple Matlab Matlab Matplotlib Matplotlib Microsoft Fabric Microsoft Fabric Microsoft Power BI Microsoft Power BI MS 365 Power Apps MS 365 Power Apps Neo4j Neo4j NLP OmniMark OpenCV OpenCV Openvino Openvino Pandas Pandas PCA Plotly Plotly Qlik Sense Qlik Sense Qlik View Qlik View RabbitMQ RabbitMQ Random Forest Random Forest RedCap RedCap Redshift Redshift R (programming language) R (programming language) SAS SAS Scikit-learn Scikit-learn Splunk Splunk SPSS SPSS SSAS SSAS SSIS SSIS Stata Stata SVM Sybase IQ Sybase IQ Talend Talend Teradata Teradata Tomcat Tomcat Topic Modelling T-SQL T-SQL XGBoost XGBoost SciPy SciPy PyTorch Lightning PyTorch Lightning TIBCO Dataiku Dataiku TiDB MLOps Weaviate Weaviate Mode Analytics Hugging Face Transformers Hugging Face Transformers ETL ETL SAP Marketing Cloud SAP Marketing Cloud JAX Computer Vision IBM Cognos Analytics IBM Cognos Analytics CSV

580+

Engagements

320+

Data & AI engineers

2

days

Matching time

Find the right Data & AI engineers, across 150+ 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 Data & AI engineers worldwide, across 700+ 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 Données et intelligence artificielle

  • Data Science
  • Data Engineering
  • Machine Learning
  • Business Intelligence
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"Grâce à Proxify, EF Education First a pu se développer, travailler de manière beaucoup plus flexible et être plus créative."

Sange Lee

Executive Vice President

Sange Lee

Over 5 000 professionals across 700+ competencies

  • Ingénierie des produits logiciels

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  • Cloud et infrastructure

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