TalentLo tech stack

TalentLo builds mostly with Python, SQL. Its stack also includes AWS, Azure, PyTorch, Google BigQuery. Python is named in 2 of the 3 job postings TalentLo published in the last 12 months (67%). Counted by Alion from the job postings of TalentLo, updated Nov 1, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 1, 2026
Technologies in use
28
Postings analysed
3
Open now
1
Modernity
84 /100

What programming languages does TalentLo use?

Python is named in 67% of job postings at TalentLo, followed by SQL (33%).

Python 2 67% required in 100% · 1 open now · since Oct 2026
SQL 1 33% required in 100% · since Oct 2026

What frameworks and libraries does TalentLo use?

PyTorch is named in 67% of job postings at TalentLo, followed by Hypothesis (33%), LangChain (33%), TensorFlow (33%).

PyTorch 2 67% required in 50% · 1 open now · since Oct 2026
Hypothesis 1 33% required in 100% · since Oct 2026
LangChain 1 33% required in 100% · 1 open now · since Oct 2026
TensorFlow 1 33% required in 100% · 1 open now · since Oct 2026
Keras 1 33% optional · 1 open now · since Oct 2026
LangGraph 1 33% optional · 1 open now · since Oct 2026
LlamaIndex 1 33% optional · 1 open now · since Oct 2026

What databases does TalentLo use?

Google BigQuery is named in 33% of job postings at TalentLo.

Google BigQuery 1 33% optional · since Oct 2026

What cloud and platforms does TalentLo use?

AWS is named in 67% of job postings at TalentLo, followed by Azure (67%), GCP (33%), Databricks (33%).

AWS 2 67% required in 100% · 1 open now · since Oct 2026
Azure 2 67% required in 100% · 1 open now · since Oct 2026
GCP 1 33% required in 100% · 1 open now · since Oct 2026
Databricks 1 33% optional · since Oct 2026
Hugging Face 1 33% optional · 1 open now · since Oct 2026
Vertex AI 1 33% optional · since Oct 2026

What developer tools does TalentLo use?

Docker is named in 67% of job postings at TalentLo, followed by Git (33%), CloudFormation (33%), Terraform (33%).

Docker 2 67% required in 50% · 1 open now · since Oct 2026
Git 1 33% required in 100% · 1 open now · since Oct 2026
CloudFormation 1 33% optional · since Oct 2026
Terraform 1 33% optional · since Oct 2026

What AI and ML technologies does TalentLo use?

LLM is named in 33% of job postings at TalentLo.

LLM 1 33% required in 100% · 1 open now · since Oct 2026

Which engineering practices does TalentLo ask for?

CI/CD is named in 67% of job postings at TalentLo, followed by Machine Learning (67%), Prompt Engineering (33%), RAG (33%).

CI/CD 2 67% required in 100% · 1 open now · since Oct 2026
Machine Learning 2 67% required in 100% · 1 open now · since Oct 2026
Prompt Engineering 1 33% required in 100% · 1 open now · since Oct 2026
RAG 1 33% required in 100% · 1 open now · since Oct 2026
AI Agents 1 33% optional · 1 open now · since Oct 2026
Embeddings 1 33% optional · 1 open now · since Oct 2026
Hybrid Search 1 33% optional · 1 open now · since Oct 2026

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How modern is the TalentLo stack?

Cutting-edge AI adopter 84/100

TalentLo scores 84 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: 1; legacy ones: 0.

How common is the TalentLo stack in its industry?

Share of the 2,026 companies in the same industries, whose stack Alion knows, that use each technology.

AWS45%
Azure35%
PyTorch15%
Python58%
Databricks11%
GCP30%
Google BigQuery8%
Hugging Face5%
Hypothesis0%
Keras1%

Questions about the TalentLo tech stack

What programming languages does TalentLo use?

The languages named in TalentLo job postings are Python (67%), SQL (33%), as a share of the 3 postings of the last 12 months.

Does TalentLo use PyTorch?

Yes. PyTorch is named in 2 of 3 job postings (67%) and required in 1 of them.

What cloud and platforms does TalentLo use?

The cloud and platforms named in TalentLo job postings are AWS (2), Azure (2), GCP (1) (postings in brackets).

Is the TalentLo tech stack changing?

No new technology has appeared in TalentLo job postings in the last six months.

How modern is the TalentLo tech stack?

TalentLo scores 84 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: 1; legacy ones: 0.

How does Alion know the TalentLo tech stack?

Alion reads every job posting TalentLo publishes and tags the technologies each one names. The figures on this page count the 3 postings of the last 12 months and were updated on Nov 1, 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, "TalentLo tech stack: 28 technologies from 3 job postings", as of Nov 1, 2026. https://alion.io/company/talentlo/technologies

Licence: CC BY-SA 4.0JSON