Career Opportunities

Technology and Artificial Intelligence Interferences Teknoloji 11-17 May 2026

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Aleyna GülerAdmin

May 11, 2026

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The internship programs from 11-17 May aim to provide participants with advanced technical expertise from financial technologies to autonomous AI agents and global software architectures. Candidates are looking for the doors of a professional career in artificial intelligence and engineering disciplines working on real world projects in these institutions.

NG Hubs Turkey — Machine Learnin g

Contents and Focus Points of the Program

This program has a practical curriculum that prepares participants to global technology standards rather than theoretical knowledge:

• Data Science Basics: In-depth work on Python, SQL and large data processing tools.

• Machine Learning Algorithms: Implementation of audited and uncontrolled learning models to work problems.

• NLP and AI when producing: Natural language processing techniques and up-to-date LLM technologies.

• Engineering Disciplini: Model deployment processes, clean code writing and scalable artificial intelligence architectures.

• Banking Technologies: AI usage in financial technologies, fraud detection and personalized banking solutions.

Application Process and Candidates Criteria

• The evaluation process aims to measure both technical and competence-based potentials of candidates:

  • Application Address: NG Hubs Turkey

  • Technical Test & Case Study: Online tests that measure the ability of coding and problem solving.

  • Video Interview / HR Interview: Analysis of the motivation and cultural harmony of the candidate.

  • Technical Contract: In-depth technical panel with expert engineers and managers in the field.

  • Accept and Onboarding: The introduction of successful candidates to the program and the start of the educational process.

  • Students who will apply to the program are expected to be a graduate or final student from universities’ Computer Engineering, Software Engineering, Math Engineering, Statistics or related technical departments. Candidates play a critical role in assessing the principles of machine learning with basic competence on Python programming language, data structures and algorithms.

Tessera AI Labs — Data Science Intern

Contents and Focus Points of the Program

The curriculum and operational focus of Tessera AI Labs is aimed at building end-to-end autonomous systems beyond theoretical knowledge:

• AI Agent Development: architecture and design of artificial intelligence agents that can fulfill complex tasks.

• Corporate ERP Modernization: Combining traditional enterprise resource planning systems with artificial intelligence, providing efficiency increase.

• Large Data and Data Pipe Lines: Optimized for processing, cleaning and model training of high-scale data.

• Next Generation Software Architecture: To release microservices and artificial intelligence models in the cloud-based systems.

Application Process and Candidates Criteria

• Application Address: Tessera AI Labs

• Technical Test & Case Study: Online tests that measure the ability of coding and problem solving.

• Video Interview / HR Interview: Analysis of the motivation and cultural harmony of the candidate.

• Technical Contract: In-depth technical panel with expert engineers and managers in the field.

• Accept and Onboarding: The introduction of successful candidates to the program and the start of the educational process.

Candidates are expected to have a strong academic background in Computer Science, Software Engineering or similar numerical areas. Technically Python is among the basic requirements to have in-depth knowledge on advanced coding skills, data structures and algorithms in Java or similar languages. Specifically artificial intelligence models Home analytical intelligence high profiles that can solve complex technical problems with experienced or high motivation in this field.

EPAM Systems

Contents and Focus Points of the Program

The trainings offered by EPAM (Machine Learning, Cloud & DevOps, Java, .NET etc.) are usually composed of stages following each other:

• Theoretical Basics: algorithms, data structures and basic programming languages for selected expertise.

• AI-Native Development: "AI-native" approaches that put artificial intelligence not only as a tool, the center of the software development life cycle.

• Modern Car Sets: Go, Docker, Kubernetes and cloud platforms the use of vehicles that have become standard in the sector.

Application Process and Candidates Criteria

• EPAM Campus programs are usually comprised of the following stages:

  • Registration and CV Submission: Application via eAM Campus portal with personal information and current resume.

  • English Rating: After a short time from the application, measure the English level through the online system.

  • Technical Testing: theoretical and practical (code) online exams that measure the basic knowledge of the candidate’s chosen area.

  • HR and Technical Responses: In-depth interviews of human resources, followed by senior engineers.

  • Admission and Training: Starting the mentoring process by incorporating successful ones into the online educational platform.

Candidates are often expected to be final student or graduates in technical departments such as Computer Engineering, Software Engineering, Statistics or Math. Technically, having basic competence in at least one programming language, being the concept of object-oriented programming logic and having basic database knowledge is among critical requirements. As EPAM is a global company, candidates must have English knowledge at least B1 level; this competence is tested in the process. In addition, candidates who can adapt to intensive working tempos (from average 20-40 hours) are first to follow analytical thinking skills with high and technological developments in self-learning discipline.

NG Hubs Turkey — Machine Learnin g Contents and Focus Points of the Program This program has a practical curriculum that prepares participants to global technology standards rather than theoretical knowledge: Data Science Basics: In-depth work on Python, SQL and large data processing tools. Machine Learning Algorithms: Implementation of audited and uncontrolled learning models to work problems. NLP and AI when producing: Natural language processing techniques and up-to-date LLM technologies. Engineering Disciplini: Model deployment processes, clean code writing and scalable artificial intelligence architectures. Banking Technologies: AI usage in financial technologies, fraud detection and personalized banking solutions. Application Process and Candidates Criteria The evaluation process aims to measure both technical and competence-based potentials of candidates: Application Address: NG Hubs Turkey Technical Test & Case Study: Online tests that measure the ability of coding and problem solving. Video Interview / HR Interview: Analysis of the motivation and cultural harmony of the candidate. Technical Contract: In-depth technical panel with expert engineers and managers in the field. Accept and Onboarding: The introduction of successful candidates to the program and the start of the educational process. Students who will apply to the program are expected to be a graduate or final student from universities’ Computer Engineering, Software Engineering, Math Engineering, Statistics or related technical departments. Candidates play a critical role in assessing the principles of machine learning with basic competence on Python programming language, data structures and algorithms. Tessera AI Labs — Data Science Intern Contents and Focus Points of the Program The curriculum and operational focus of Tessera AI Labs is aimed at building end-to-end autonomous systems beyond theoretical knowledge: AI Agent Development: architecture and design of artificial intelligence agents that can fulfill complex tasks. Corporate ERP Modernization: Combining traditional enterprise resource planning systems with artificial intelligence, providing efficiency increase. Large Data and Data Pipe Lines: Optimized for processing, cleaning and model training of high-scale data. Next Generation Software Architecture: To release microservices and artificial intelligence models in the cloud-based systems. Application Process and Candidates Criteria Application Address: Tessera AI Labs Technical Test & Case Study: Online tests that measure the ability of coding and problem solving. Video Interview / HR Interview: Analysis of the motivation and cultural harmony of the candidate. Technical Contract: In-depth technical panel with expert engineers and managers in the field. Accept and Onboarding: The introduction of successful candidates to the program and the start of the educational process. Candidates are expected to have a strong academic background in Computer Science, Software Engineering or similar numerical areas. Technically Python is among the basic requirements to have in-depth knowledge on advanced coding skills, data structures and algorithms in Java or similar languages. Specifically artificial intelligence models Home analytical intelligence high profiles that can solve complex technical problems with experienced or high motivation in this field. EPAM Systems Contents and Focus Points of the Program The trainings offered by EPAM (Machine Learning, Cloud & DevOps, Java, .NET etc.) are usually composed of stages following each other: Theoretical Basics: algorithms, data structures and basic programming languages for selected expertise. AI-Native Development: "AI-native" approaches that put artificial intelligence not only as a tool, the center of the software development life cycle. Modern Car Sets: Go, Docker, Kubernetes and cloud platforms the use of vehicles that have become standard in the sector. Application Process and Candidates Criteria EPAM Campus programs are usually comprised of the following stages: Registration and CV Submission: Application via eAM Campus portal with personal information and current resume. English Rating: After a short time from the application, measure the English level through the online system. Technical Testing: theoretical and practical (code) online exams that measure the basic knowledge of the candidate’s chosen area. HR and Technical Responses: In-depth interviews of human resources, followed by senior engineers. Admission and Training: Starting the mentoring process by incorporating successful ones into the online educational platform. Candidates are often expected to be final student or graduates in technical departments such as Computer Engineering, Software Engineering, Statistics or Math. Technically, having basic competence in at least one programming language, being the concept of object-oriented programming logic and having basic database knowledge is among critical requirements. As EPAM i

Aleyna GülerAdmin

@aleynaguler