Generative AI Practice Leader - Houston, TX

The Dignify Solutions, LLC; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

A leading IT Services and Consulting firm is seeking a Generative AI Practice Leader in Houston, TX. This mid-senior level position involves formulating business strategies in Generative AI and requires extensive expertise in machine learning, data science, and Azure services. The ideal candidate will have hands-on experience with language models and a strong background in data analysis and engineering. An attractive salary package is offered, reflective of the expertise required.

Qualifications

• At least 5+ years of hands-on experience with building language models, machine learning and AI models.
• Deep expertise in data collection, preprocessing, and analysis.
• Experience on LLM Model Governance, LLMSecOps, Hallucination and bias handling.

Responsibilities

• Formulate business development strategies on Generative AI.
• Customize and fine-tune AI models for rapid Proofs of Concept (PoCs).
• Apply machine learning algorithms to solve complex problems.

Skills

Machine Learning

Data Analysis

Azure Cognitive Services

Language Models

Data Engineering

Tools

Python

R

Job description

Generative AI Practice Leader - Houston, TX

Generative AI Practice Leader - Houston, TX

3 weeks ago Be among the first 25 applicants

• Responsible to formulate business development strategies on Generative AI for both customers and Client Gen AI practice.
• Experience in Oil & Gas domain would be a plus.
• At least 5+ years of hands-on experience with building language models, machine learning and AI models leveraging industry tools, products, and / or Azure cognitive services.
• Deep and hands-on expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data.
• Hands-on expertise in large language models (LLMs/LSTMs/BERT) that can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (CoT) reasoning steps.
• Experience of building / customizing and fine-tuning AI models including LLM models via OpenAI (Azure), Bert (AWS) for rapid PoCs
• Experience on LLM Model Governance, LLMSecOps, Hallucination and bias handling
• Deep and hands-on experience in applying machine learning algorithms.
• Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services, Azure Machine Learning and AWS Sagemaker and Bedrocks
• Strong understanding of Azure cloud technology including Cognitive Services viz. Vision, Speech, Language, Decision, Search and GenAI and its implementation
• Proven experience with, and applied knowledge of, at least one scripting language, such as Python, or R

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  IT Services and IT Consulting

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