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About the project: This internship gives you hands‑on experience working on real AI/ML tasks in a live engineering environment. You will help build and refine ML pipelines, prepare data, run experiments, and evaluate models under the guidance of a mentor. The work includes creating small prototypes, integrating models into simple internal tools, and documenting results. You’ll gain practical exposure to applied AI development and gradually take ownership of small but meaningful components as you learn. Upon successful completion of the internship, there is an opportunity to receive a permanent position within the company.
Requirements
- Strong Python programming skills (required)
- Basic OOP, clean code habits
- Good understanding of data structures & algorithms
- ML fundamentals: supervised learning, train/val/test splits, metrics, overfitting
- Familiarity with PyTorch
- Experience with Git, Linux/CLI, virtual environments
- Data skills: pandas, NumPy, preprocessing
- Experience with LLMs, Transformers, embeddings, vector DBs (RAG)
- Basic backend/API development (FastAPI/Flask)
- Docker
- Cloud basics (AWS/GCP/Azure)
- Implement and improve AI/ML features under mentor guidance
- Run experiments, track results, compare approaches
- Perform model evaluation and propose improvements
- Work on data tasks (cleaning, preprocessing, dataset creation, labeling support)
- Build supporting components (scripts/services)
- Integrate models into simple APIs or internal tools
- Document findings and maintain reproducible code
- Deliver prototypes, experiment reports, feature increments, and clean PRs
Schedule: 6+ hours/day, preferred overlap: 3-5 hours with EET/EEST (UTC+2 / UTC+3). Internship duration: 2+ months, extendable based on performance
Hiring process: HR interview + tech specialists
Why Choose Us? What Do We Offer that's Exceptional?
- Cutting-Edge Technologies on Real Projects: At Langate, you'll work with the latest technologies on live projects. We're a dynamic, fast-growing company, so you'll find a minimal amount of legacy systems and plenty of opportunities to implement new technologies.
- Work-Life Balance with Benefits: We value work-life balance and offer paid time off, including vacation days and sick leave. Remote work options and hearty life are part of the package too.
- Investment in Your Growth: We're committed to your professional development. You can expect training programs, courses, and opportunities to enhance your English language skills.
- Team Building and Unity: We know that a happy team is a productive team. That's why we organize team-building events and group activities to foster strong bonds and a sense of belonging.
Need more information? Welcome!
Key Skills
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