Perficient Inc.

MLOps Architect

United States · Senior

Sponsorship not specified$92k-$203kDetected 2 days ago

Machine LearningMLOps

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odds of building a lasting career here

59Sponsors, lottery-bound

Cap-exempt (no lottery)0

Sponsors this role100

Entry-level history0

PERM / green-card track0

Lottery odds (Level III)83

Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 31 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 71%

Of 31 labor certifications old enough to have been used, 9 expired without the employer filing the next step. Median time from filing to decision: 512 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

22 transfer filings in the last year, covering 22 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

We are seeking strategic and technically fluent AI Strategists to lead ideation and planning within a structured AI innovation environment.

Compensation

$92k-$203k

Company info

We are seeking strategic and technically fluent AI Strategists to lead ideation and planning within a structured AI innovation environment.

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This listing is sourced directly from Perficient Inc.'s careers page and normalized into a canonical job model.