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Job summary
A leading recruiting firm in Houston, Texas, is searching for a skilled professional in Generative AI to design and deploy advanced AI models. The role emphasizes experience in Python and familiarity with AI/ML libraries. Candidates should have strong communication and leadership skills to ensure effective project execution. Responsibilities include fine-tuning models and leveraging Azure services for deployment, making this an exciting opportunity for innovative individuals passionate about AI technologies.
Qualifications
Proven experience with Generative AI technologies and overall 10+ years of experience.
Strong proficiency in Python and experience with AI/ML libraries such as Pandas, Numpy, and PyTorch.
Familiarity with Azure AI cloud platform and version control systems like Git.
Responsibilities
Design, fine-tune, and deploy state‑of‑the‑art Generative AI models.
Train and customize large language models (LLMs) for domain‑specific requirements.
Ensure efficient model serving with APIs, real‑time inference, and monitoring.
Skills
Proficiency in Python
Experience with AI/ML libraries (Pandas, Numpy, PyTorch)
Natural Language Processing (NLP)
Generative AI technologies
Excellent communication skills
Leadership skills
Tools
Azure AI cloud platform
Azure OpenAI Service
Git
Job description
Proven experience with GenAI, technologies with overall 10+ years of experience
Design, fine-tune, and deploy state‑of‑the‑art Generative AI models for various business use cases.
Train and customize large language models (LLMs) for domain‑specific requirements.
Work with Natural Language Processing (NLP), text‑to‑image, and other generative AI technologies.
Leverage Azure OpenAI Service to design and deploy Generative AI models.
Strong proficiency in Python and experience with AI/ML libraries such as Pandas, Numpy, and PyTorch.
Familiarity with Azure AI cloud platform, and version control systems like Git.
Excellent communication and leadership skills.
Good To have:
Design and implement end‑to‑end pipelines for generative AI solutions, from data preparation to deployment in Azure Kubernetes Service (AKS) or Azure Container Instances (ACI).
Ensure efficient model serving with APIs, real‑time inference, and monitoring