Generative AI Practice Leader with Experience in Oil & Gas Domain - Hybrid

The Dignify Solutions, LLC; Houston (TX); Presencial; USD 120 000 - 150 000; Tempo integral

Resumo da oferta

A leading tech firm is seeking a Generative AI Practice Leader with expertise in the oil & gas domain. The role involves developing AI models, managing data analysis, and leveraging cloud technologies like Azure. Candidates should have at least 5 years of experience in building language models and should be skilled in Python scripting. This hybrid position offers full-time employment and contributes to the future of AI solutions.

Qualificações

• 5+ years of hands-on experience with language models and AI.
• Deep expertise in data collection and preprocessing.
• Experience in building and customizing AI models.

Responsabilidades

• Lead the generative AI practices and model implementations.
• Manage data collection and processing for model training.
• Customize and fine-tune AI models for rapid PoCs.

Conhecimentos

Building language models

Data mining and analysis

Hands-on expertise in LLMs

AI models fine-tuning

LLM Model Governance

Machine learning algorithms

Azure Cognitive Services

Scripting in Python

Descrição da oferta de emprego

Overview

Generative AI Practice Leader with Experience in Oil & Gas Domain - Hybrid

Qualifications

• 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.

Employment details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Other
• Industries: IT Services and IT Consulting

Referrals may increase your chances of interview opportunities.