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BLeader Tech Stack

AI and data transformation consulting for financial services

IT Services and IT Consulting Tel Aviv 11–50 employees Founded 2014 Privately Held

BLeader is a 11–50 person AI and data consultancy based in Tel Aviv, founded in 2014. The stack spans Python, Scala, Java across AWS, Azure, and GCP, with heavy ML (TensorFlow, PyTorch, Hugging Face, scikit-learn, XGBoost, LightGBM) and modern data infrastructure (Spark, Kafka, Airflow, Snowflake, Databricks). They're migrating from QlikView to Qlik Sense and adopting generative AI capabilities—indicating a shift toward real-time ML and cloud-native analytics. The hiring acceleration in data roles (5 open positions) combined with active projects in credit-risk and fraud-detection ML signals scaling toward financial-services use cases.

Tech Stack 34 technologies

Core StackPython Scala Java Go AWS Docker Kubernetes Terraform Ansible Jenkins Apache Spark Kafka Apache Airflow TensorFlow PyTorch Hugging Face Tableau Power BI scikit-learn SageMaker Databricks Snowflake SQL Azure GCP OpenAI API XGBoost LightGBM Azure Machine Learning NPrinting

AdoptingQlik Sense

ReplacingQlikView

What BLeader Is Building

◆Challenges

Scaling recruitment function
Expanding outsourcing business line
Scaling ml data pipelines
Major data transformation
Migrating legacy bi to modern platform

▲Active Projects

Outsourcing business line
Scaling recruitment function
Credit risk assessment ml models
Fraud detection ml models
Adoption of genai capabilities
Ml data panels and feature pipelines
Real-time feature enrichment systems
Etl/elt processes in snowflake
Qlikview to qliksense migration
Nprinting & qlik cloud reporting

Hiring Activity

Accelerating8 roles · 4 in 30d

Department

Data

5

HR

1

Sales

1

Seniority

Mid

3

Lead

2

Director

1

Senior

1

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About BLeader

BLeader delivers AI and data strategy consulting, with execution across the full transformation lifecycle. Their focus spans business intelligence, data visualization (Tableau, Power BI), machine learning (credit risk, fraud detection), and modern data infrastructure (Snowflake, Databricks, Spark, Kafka). The firm is currently expanding an outsourcing business line, scaling their recruitment function, and managing a major technology migration from legacy BI platforms (QlikView) to cloud-native stacks (Qlik Sense, NPrinting, Snowflake). They operate as a project-driven consultancy selling into mid-market and enterprise organizations, likely concentrated in EMEA.

HeadquartersTel Aviv

Company Size11–50 employees

Founded2014

Hiring MarketsIsrael

Frequently Asked Questions

What is BLeader's tech stack?

Python, Scala, Java, Go on AWS/Azure/GCP. ML: TensorFlow, PyTorch, Hugging Face, scikit-learn, XGBoost, LightGBM. Data: Spark, Kafka, Airflow, Snowflake, Databricks. BI: Tableau, Power BI, Qlik Sense. Infrastructure: Docker, Kubernetes, Terraform, Ansible, Jenkins.

What is BLeader working on?

Credit-risk and fraud-detection ML models, real-time feature enrichment, Snowflake ETL/ELT, QlikView-to-Qlik Sense migration, generative AI adoption, ML data pipelines and panels, outsourcing business expansion.