Intellisoft Technologies

ML Engineer

Austin, Texas, USA · Senior · third party, contract

Sponsorship not specifiedDetected 135 days ago

PythonAWSMachine LearningData AnalysisData EngineeringMLOps

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odds of building a lasting career here

40Risky

Cap-exempt (no lottery)0

Sponsors this role90

Entry-level history0

PERM / green-card track0

Lottery odds40

Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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 12 green-card filings in this occupation, 67% were for a worker who already held the job.

Third-party placement is common here

42% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 37 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: JPMorgan Chase & Co · Toyota · VERIZON (Remote Work Location)Files as an H-1B dependent employer.

Green-card follow-through: 57%

Of 7 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 464 days.73% 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

11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 8 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

Knowledge of the machine learning development life cycle (MDLC) and AI engineering best practices - Experience designing and implementing end to end machine learning pipelines and solution architectures

Requirements

Strong understanding of cloud technologies and AI or ML platforms like AWS SageMaker.

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