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AI Engineer Intern, GigaAcademy Kosovo Program

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: Genpac
Full Time, Apprenticeship/Internship position
Listed on 2026-07-17
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 10044 - 16740 EUR Yearly EUR 10044.00 16740.00 YEAR
Job Description & How to Apply Below
Analyst
- Data Engineering This position is only open for External Referrals Ready to turn bold ideas into real-world impact?

At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform ther tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.

Get to know us at  and on Linked In, You Tube, X, and Facebook.

Job Description
-Inviting Applications for the role of AI Engineer Intern– Giga Academy Kosovo Program This full-time, intensive track is designed for individuals ready to work at the frontier of Artificial Intelligence and enterprise innovation.

Participants will build a strong base in traditional AI/ML and deep learning, then advance into GenAI, LLM applications, and production-ready agentic systems aligned with real-world enterprise use cases. The program operates in a structured, high-performance environment that mirrors global engineering standards.

This track is ideal for aspiring engineers who want hands-on experience building scalable AI systems and integrating Large Language Models (LLMs) into enterprise applications.

Apply now and embark on an exciting intern journey with us.

Responsibilities Build strong AI foundations using Python, including Num Py and Pandas Learn and apply SQL for data extraction, preparation, and analysis to support ML/LLM workflows

Strengthen ML/DL fundamentals, including neural networks, model training, optimization, and evaluation

Develop and train models using frameworks such as PyTorch and Tensor Flow Build  LLM applications using Lang Chain and Lang Graph, including RAG pipelines, tool/function calling, and agent/workflow orchestration

Work with embeddings and vector databases, and integrate LLMs into API-based services with monitoring and guardrails

Apply learning through hands-on exercises, simulations, and enterprise-inspired projects

Collaborate within structured team environments aligned with enterprise engineering standards

Participate in daily technical sessions, labs, and performance assessments

Minimum Qualifications / Skills Third-year university student or above, recent graduate, or professional transitioning into technology

Foundational knowledge of:

Python programming

Basic machine learning concepts

Strong analytical and problem-solving skills

High motivation to learn AI, cloud technologies, and engineering principles

Full-time availability for the 4-month intensive program

Ability to participate in daily training sessions and assessments

Good English communication skills (written and verbal)
Bonus Points/Preferred

Skills:

Exposure to PyTorch or Tensor Flow Familiarity  with Machine Learning or Deep Learning models

Basic understanding of LLMs and generative AIExposure to RAG pipelines or vector databases

Knowledge of Git and collaborative development workflows

Participation in AI-related projects, hackathons, or internships

Strong communication skills and ability to work in a team environment Qualifications
-Bachelors
- Business Analytics, Bachelors
- Computer Science, Bachelors
- Statistics, Masters
- Data Science Certifications
-Certified Data Management Professional
- Riversand Riversand, Cloudera Certified Professional (CCP) Data Scientist
- Upgrad Upgrad, Databricks Certified Associate…
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