Gen AI Tech Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Tech Lead in Westlake, TX, lasting long-term with a pay rate of "unknown." Requires a Bachelor's or Master's in a related field, 10+ years in AI/ML, and 3+ years in GenAI projects, with strong Python and cloud platform skills.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 28, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Texas, United States
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🧠 - Skills detailed
#Scala #AI (Artificial Intelligence) #BERT #Data Privacy #R #Monitoring #Azure #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Model Optimization #Programming #Cloud #GitHub #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Computer Science #Data Processing #Deployment #Python
Role description
Role: Gen AI Tech Lead Location: Westlake TX (Onsite) Duration: Long Term Job Description: β€’ Design and develop GenAI models, including fine-tuning large language models (e.g., GPT, LLaMA, Claude). β€’ Lead the evaluation and integration of foundation models and APIs (e.g., OpenAI). β€’ Architect scalable and secure AI pipelines for data processing, training, and deployment. β€’ 2+ years of hands-on experience with generative AI technologies and large language models β€’ Proven experience working with Microsoft Copilot (GitHub Copilot) or Azure OpenAI Services β€’ experience building Gen AI solutions with AWS Bedrock β€’ Strong programming skills in Python, with experience in AI/ML frameworks β€’ Knowledge of prompt engineering, fine-tuning, and model optimization techniques Innovation & R&D: β€’ Stay up-to-date with the latest research and trends in generative AI, multimodal models, and MLOps. β€’ Drive experimentation with new models, prompt engineering, and domain-specific adaptations. β€’ Create internal GenAI tools, copilots, or agents to enhance employee productivity and customer engagement. β€’ Governance & Ethics: β€’ Ensure AI systems are explainable, fair, and aligned with ethical guidelines and data privacy laws. β€’ Establish monitoring systems to track model performance, drift, and user feedback in production. Required Qualifications: β€’ Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). β€’ 10+ years of experience in AI/ML, with at least 3+ years in hands-on GenAI or LLM-related projects. β€’ Strong experience with ML frameworks, LLMs (GPT, BERT, etc.), and cloud AI platforms (AWS, Azure, GCP). β€’ Deep understanding of transformer architectures, embeddings, prompt engineering, RAG, and fine-tuning techniques. β€’ Proven track record of delivering GenAI applications in enterprise or production environments.