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HR Pundits

Gen AI/ML Engineer (Full Time position)

Plano, Texas, USA · Senior · Full-time

Sponsorship not specifiedDetected 139 days ago
PythonElasticsearchSnowflakeDatabricksVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesKafkaMachine LearningSparkAirflowNLPLLMsRAGAgentic AIMLOpsCustomer Support

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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

  • Generative AI / AI Engineer with 10+ years of AI/ML experience Must have hands on expertise in LLMs, NLP, RAG, Agentic AI, and enterprise AI automation. Strong experience with GPT 4, Claude, LLaMA, Mistral, BERT, T5, Hugging Face, OpenAI APIs. Ability to design and deploy RAG solutions using vector databases like FAISS, Pinecone, Weaviate, OpenSearch, or
  • Elasticsearch. Must have built AI chatbots, copilots, virtual assistants, and document intelligence solutions for enterprise use cases. Experience in fine tuning and optimization using LoRA, QLoRA, PEFT, instruction tuning, prompt engineering, and model quantization. Strong MLOps and production deployment experience using MLflow, Kubeflow, Airflow, Docker,

Requirements

  • Generative AI / AI Engineer with 10+ years of AI/ML experience Must have hands on expertise in LLMs, NLP, RAG, Agentic AI, and enterprise AI automation.
  • Strong experience with GPT 4, Claude, LLaMA, Mistral, BERT, T5, Hugging Face, OpenAI APIs.
  • Must have built AI chatbots, copilots, virtual assistants, and document intelligence solutions for enterprise use cases.
  • Experience in fine tuning and optimization using LoRA, QLoRA, PEFT, instruction tuning, prompt engineering, and model quantization.
  • Strong MLOps and production deployment experience using MLflow, Kubeflow, Airflow, Docker, Kubernetes, Azure ML, AWS SageMaker, or Google Cloud Platform Vertex AI.
  • Must be able to convert business problems into AI use cases across fraud, compliance, customer support, knowledge search, document processing, and automation.
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