Sri Tech Solutions Inc.

Senior AI/ML Engineer / Architect

Textile Finance, Los Angeles County · Senior

Sponsorship not specifiedDetected 133 days ago

AzureMachine Learning

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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 4 green-card filings in this occupation, 100% were for a worker who already held the job.

Third-party placement is common here

59% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 29 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Wipro · Wipro / Apple · SISL / METAFiles as an H-1B dependent employer.

Green-card follow-through: 0%

Of 5 labor certifications old enough to have been used, 5 expired without the employer filing the next step. Median time from filing to decision: 521 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

27 transfer filings in the last year, covering 63 workers. Median labor-condition decision: 11 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

Cloud Deployment: Architect and oversee deployment of AI/ML workloads on Azure Cloud, ensuring compliance, scalability, and cost optimization.

Responsibilities

Architect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.
Solution Engineering: Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications.
Lead the design of scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.
Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications.

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