HR Pundits

HR Pundits

Lead AI/ML Engineer (Full Time position)

US · Contract

Sponsorship not specifiedDetected 136 days ago
PythonCloud PlatformsMachine LearningAgentic AICommunication

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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

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 10 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Alexion Pharmaceuticals · Cellipont Bioservices · HCSC/BCBSFiles as an H-1B dependent employer.

Files H-1B transfers

8 transfer filings in the last year, covering 8 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 looking for an experienced contractor who is highly proficient in Python and has practical experience developing AI-powered systems. The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production-ready solutions. Core Responsibilities
  • Design, build, and maintain Python based services and automation workflows Implement MCP for agent communication, control, and observability Buil…

Nice to have

  • The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production-ready solutions.
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