InfoVision Inc.

Lead Data Science Engineer (AI/ML & GenAI) - Irving TX – Onsite

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Science Engineer (AI/ML & GenAI) in Irving, TX, for 12 months at a competitive pay rate. Requires a Master’s or Ph.D., 10+ years of experience, strong Generative AI expertise, and proficiency in Python and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 8, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#Hugging Face #Deep Learning #AWS (Amazon Web Services) #PyTorch #"ETL (Extract #Transform #Load)" #Cloud #ML (Machine Learning) #GCP (Google Cloud Platform) #Deployment #Leadership #Computer Science #Distributed Computing #TensorFlow #Scala #Azure #Reinforcement Learning #Python #AI (Artificial Intelligence) #Transformers #Data Science #Data Engineering #Langchain
Role description
Job Title: Lead Data Science Engineer (AI/ML & GenAI) Location: Irving TX – Onsite Duration: 12 months Job Description: About the Role We are seeking a highly skilled Lead Data Science Engineer to spearhead the design, development, and deployment of advanced AI/ML solutions, with a strong focus on Generative AI applications. This role requires a blend of technical expertise, leadership, and innovation to drive data-driven strategies and deliver scalable machine learning models that solve complex business challenges. Qualifications • Master’s or Ph.D. in Computer Science, Data Science, AI/ML, or related field. • Overall 10+ years of experience • Should have handson experience in machine learning, deep learning, and data science, with at least 3 years in a leadership role. • Strong expertise in Generative AI (LLMs, GANs, diffusion models, transformers). • Proficiency in Python, TensorFlow, PyTorch, and ML frameworks. • Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools. • Solid understanding of data engineering, distributed computing, and scalable architectures. • Excellent problem-solving, communication, and leadership skills. Preferred Skills • Hands-on experience with LangChain, Hugging Face, OpenAI APIs. • Knowledge of reinforcement learning and advanced optimization techniques. • Experience deploying AI solutions in production environments at scale. • Strong publication record or contributions to open-source AI projects.