Yettel tech stack
Yettel builds mostly with Python, SQL. Its stack also includes AWS, Hugging Face, Scikit-learn, Apache Iceberg. Python is named in 4 of the 6 job postings Yettel published in the last 12 months (67%). Counted by Alion from the job postings of Yettel, updated Oct 30, 2026.
What programming languages does Yettel use?
Python is named in 67% of job postings at Yettel, followed by SQL (50%).
What frameworks and libraries does Yettel use?
Scikit-learn is named in 33% of job postings at Yettel, followed by CrewAI (17%), DeepEval (17%), Guardrails AI (17%).
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What databases does Yettel use?
Apache Iceberg is named in 17% of job postings at Yettel, followed by ElasticSearch (17%), Milvus (17%), Pinecone (17%).
What cloud and platforms does Yettel use?
AWS is named in 50% of job postings at Yettel, followed by Hugging Face (33%), MLFlow (33%), Spark (33%).
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What developer tools does Yettel use?
Docker is named in 33% of job postings at Yettel, followed by Git (33%), Terraform (33%), Google ADK (17%).
What AI and ML technologies does Yettel use?
LLM is named in 17% of job postings at Yettel, followed by Llama (17%).
Which engineering practices does Yettel ask for?
CI/CD is named in 33% of job postings at Yettel, followed by Machine Learning (33%), A/B Testing (17%), AI Agents (17%).
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What does each Yettel team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
3 postingsHow does your stack fit Yettel?
How modern is the Yettel stack?
Yettel scores 86 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.
How common is the Yettel stack in its industry?
Share of the 980 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Yettel
Questions about the Yettel tech stack
What programming languages does Yettel use?
The languages named in Yettel job postings are Python (67%), SQL (50%), as a share of the 6 postings of the last 12 months.
Does Yettel use Scikit-learn?
Yes. Scikit-learn is named in 2 of 6 job postings (33%) and required in 2 of them.
What cloud and platforms does Yettel use?
The cloud and platforms named in Yettel job postings are AWS (3), Hugging Face (2), MLFlow (2) (postings in brackets).
What skills do you need for a Data Science job at Yettel?
Data Science postings at Yettel most often require Python (3), SQL (3), AWS (2), Git (2), out of 3 postings in the last 12 months.
Is the Yettel tech stack changing?
No new technology has appeared in Yettel job postings in the last six months.
How modern is the Yettel tech stack?
Yettel scores 86 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.
How does Alion know the Yettel tech stack?
Alion reads every job posting Yettel publishes and tags the technologies each one names. The figures on this page count the 6 postings of the last 12 months and were updated on Oct 30, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Yettel tech stack: 54 technologies from 6 job postings", as of Oct 30, 2026. https://alion.io/company/yetteldigitalbusiness/technologies
