AI Engineering

Python
MLOps
Docker
LLM
Tashkent
Your contribution to the team
You’ll join a team that brings AI solutions into production. You’ll work with infrastructure, pipelines, and real ML/LLM projects — from deployment to monitoring and optimization.
Real tasks from day one
Assist in deploying ML and LLM models to DEV environment
Build and configure CI/CD pipelines for model deployment
Set up Docker environments and support infrastructure
Automate deployment and model lifecycle processes
Implement logging and monitoring (errors, latency, usage)
What you need to know
1
Know Python, Bash (basic scripting), SQL and work with data
2
Use Git (GitHub/GitLab) and Docker in development
3
Understand CI/CD (GitHub Actions / GitLab CI) and basic automation
4
Work with ML/LLM tools (OpenAI API, Hugging Face, LangChain, LlamaIndex, MLflow)
5
Use Jira, Confluence, MS Office and collaborate with attention to detail
Three steps to join
Step 1
Submit your application
Fill in your application and share your skills, experience, and what truly drives you. There are no right or wrong answers - the more honest and detailed you are, the better we can match you with a direction where you’ll thrive
Step 2
Complete the test or a test task
If your application is selected, you’ll receive a test or assignment depending on the direction. Not theoretical, not abstract - but something our team works on every day. Show your approach, your logic, your perspective - that’s what matters most to us
Step 3
Interview with the team
Team leads personally review every application and select candidates for their projects. If shortlisted, you’ll be invited to an interview with your future mentor and team manager. Candidates who successfully pass all stages will receive an offer and start the internship in June — working on real tasks, in a professional environment, gaining experience that kickstarts your career
Would be an advantage
- Experience with Kubernetes
- Knowledge of monitoring systems (Prometheus, Grafana)
- Experience with logging tools (ELK stack)
What we offer
Paid internship
Flexible and hybrid schedule
Official enrollment for internship or university practice
Office in the city center
Access to corporate benefits and tools
Apply for Internship
Submit your application and we’ll reach out!
Write to us if you have any questions: