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Specialized tech talent acquisition
Extensive experience in the technology sector
Years of specialization in talent acquisition.
We understand the profiles, the timelines, and the demands of the market.
Connect with our network of candidates
Professionals internally vetted and ready for your business.
Experience, attitude, and fit guaranteed.
We build lasting relationships
Close and transparent support at every step.
We adjust strategies and find real solutions for every business.
Service flexibility
Services and costs tailored to your needs and budget.
From technical profiles to team management and executive roles, you choose the level of support
Roles hired: Data Engineering/AI Team
Context: We helped TK Elevator recruit more than 4 roles for their DataOps team, including a Data & AI Architecture Lead, responsible for managing the team and creating new Azure data solutions. Most of the new products developed have IoT applications.
The entire team participates in global projects, communicating daily with key stakeholders at headquarters in Germany, Spain, and the United States.
Requirements
- Python & Spark
- Databricks
- Azure Data Factory
- Data Warehousing design
Roles hired:
- Software Engineers (Back, Front & Full Stack)
- DevOps/Cloud Engineering
- Quality Assurance, with a focus on automation
- Cybersecurity
Context: Due to InnoIT's recurring volume of vacancies, Yumatech collaborated with 2 team members fully dedicated to the company. Since then, we have supported their hiring activities, helping them recruit more than 20 technical consultants across various areas of expertise.
Some of the roles hired:
- Java, .NET, Node/React, Python
- Cypress, Selenium, and Playwright
- Azure and AWS as Cloud platforms
- Excellent level of English
Role hired: Data Scientist
Context: Bankinter's advanced data analytics team wanted to hire an experienced data scientist to help build and develop new algorithms for some of the company's challenges. This is a cross-functional team that acts as an internal consultancy for all departments within the company.
The ideal candidate needed to participate in designing the integrated architecture of their solutions, identifying trends across all relevant domains (e.g., NLP, text analysis, machine/deep learning, Big Data).
Requirements
- High level of Python programming
- Experience with Tensorflow/Keras
- ML or Deep Learning
- Experience in the financial sector
Role hired: AI Engineer (Computer Vision)
Context: The company is expanding its internal team for various projects and needed to hire two technical roles. They needed to develop new algorithms using Python (and its main frameworks) and C++.
They also required experience with Computer Vision projects/products, as this is the company's core product.
Requirements
- C++ & Python
- Frameworks: OpenCV, Tensorflow, PyTorch
- Experience in the field of Computer Vision
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