CNNs jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-01, CNNs appears in 122 job postings indexed by Skillenai over the past 90 days — AI Architect has the most postings mentioning CNNs.

Last updated · 90d ending 2026-10-01

Postings · last 90 days
122
Top role · 13.1% of skill postings
Top hiring metro
Bengaluru

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Frequently asked questions about CNNs

+Is CNNs in demand in 2026?

Yes. CNNs appears in 122 job postings indexed by Skillenai over the 90 days ending 2026-10-01. AI Architect accounts for the most postings mentioning CNNs (13.1% of all postings mentioning CNNs).

+What jobs require CNNs?

According to the Skillenai jobs index over the 90 days ending 2026-10-01, among roles with at least 20 postings, the highest shares mentioning CNNs are Algorithm Engineer (5.9% of that role’s postings mention CNNs), AI Engineering Manager (5.7% of that role’s postings mention CNNs), AI Architect (5.6% of that role’s postings mention CNNs).

+What skills are commonly paired with CNNs?

Across job postings indexed by Skillenai (90 days ending 2026-10-01), CNNs most often appears alongside Python, PyTorch, Transformers, TensorFlow, RNNs.

+Where is CNNs most in demand?

As of 2026-10-01, the metro areas posting the most jobs requiring CNNs are Bengaluru, Pune, Houston, Lone Tree, New York City, according to the Skillenai jobs index.

+How can I keep up with new CNNs content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning CNNs alongside the jobs index. You can subscribe to a daily email digest of new CNNs content from your Skillenai account.

+Which skills come before and after CNNs?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring CNNs — last 90 days

Career paths around CNNs

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before CNNs

Before CNNspython → CNNs: 16 observed employer moves with this skill pairscikit-learn → CNNs: 7 observed employer moves with this skill pairdocker → CNNs: 7 observed employer moves with this skill pairtensorflow → CNNs: 7 observed employer moves with this skill pairsql → CNNs: 6 observed employer moves with this skill pairS3 → CNNs: 6 observed employer moves with this skill pairpandas → CNNs: 6 observed employer moves with this skill pairpytorch → CNNs: 6 observed employer moves with this skill pairCNNspython: 16 movespython16 movesscikit-learn: 7 movesscikit-learn7 movesdocker: 7 movesdocker7 movestensorflow: 7 movestensorflow7 movessql: 6 movessql6 movesS3: 6 movesS36 movespandas: 6 movespandas6 movespytorch: 6 movespytorch6 moves

Skills after CNNs

After CNNsCNNs → pytorch: 7 observed employer moves with this skill pairCNNs → tensorflow: 7 observed employer moves with this skill pairCNNs → sql: 5 observed employer moves with this skill pairCNNs → docker: 5 observed employer moves with this skill pairCNNs → Retrieval-Augmented Generation (RAG): 5 observed employer moves with this skill pairCNNs → kubernetes: 5 observed employer moves with this skill pairCNNs → python: 5 observed employer moves with this skill pairCNNs → MLflow: 4 observed employer moves with this skill pairCNNspytorch: 7 movespytorch7 movestensorflow: 7 movestensorflow7 movessql: 5 movessql5 movesdocker: 5 movesdocker5 movesRetrieval-Augmented Generation (RAG): 5 movesRetrieval-Augment…Generation (RAG)5 moveskubernetes: 5 moveskubernetes5 movespython: 5 movespython5 movesMLflow: 4 movesMLflow4 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: python16
Before: scikit-learn7
Before: docker7
Before: tensorflow7
Before: sql6
Before: S36
Before: pandas6
Before: pytorch6
After: pytorch7
After: tensorflow7
After: sql5
After: docker5
After: Retrieval-Augmented Generation (RAG)5
After: kubernetes5
After: python5
After: MLflow4

Roles most likely to require CNNs

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Algorithm Engineer25.9%
AI Engineering Manager55.7%
AI Architect165.6%
AI Data Scientist15.0%
Perception Engineer15.0%
Machine Learning Platform Engineer14.3%
Applied AI Scientist13.4%
AI/ML Engineer61.8%
Computer Vision Engineer11.1%
ML Engineer161.0%

Roles with the most CNNs postings

RolePostings mentioning skillShare of skill postings
AI Architect1613.1%
ML Engineer1613.1%
Machine Learning Engineer1512.3%
Data Scientist129.8%
AI/ML Engineer64.9%
AI Engineer54.1%
AI Engineering Manager54.1%
Software Engineer54.1%
Robotics Machine Learning Engineer32.5%
AI/ML Research Engineer21.6%

Top companies posting jobs requiring CNNs

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring CNNs
CompanyPostings · 90 days
Accenture19
Bot Auto4
NVIDIA4
VERSANT4
Bosch4
Future-Secured3
SNC3
Edwards Lifesciences3
Torcrobotics2
Codvo-team2

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for CNNs

NamePostingsShare
Bengaluru64.9%
Pune64.9%
Houston32.5%
Lone Tree32.5%
New York City32.5%
Sunnyvale32.5%
Sydney32.5%
Austin21.6%
Bastrop21.6%

Skills commonly paired with CNNs

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-01. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning CNNs by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s CNNs postings by all CNNs postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). An adjusted trend is not shown because comparable posting coverage is insufficient.

source
Skillenai jobs index, deduplicated daily
entity_id
77a6e1957bdf26e0
data_as_of
2026-10-01
window_days
90
Hiring engineers who use CNNs?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index