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Lead Data Science Engineer
⭐ - 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, leadership skills, and expertise in Generative AI, Python, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 17, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
Irving, TX
-
🧠 - Skills detailed
#Transformers #Langchain #"ETL (Extract #Transform #Load)" #Computer Science #Data Engineering #Leadership #Cloud #Scala #TensorFlow #PyTorch #GCP (Google Cloud Platform) #ML (Machine Learning) #Data Science #AWS (Amazon Web Services) #Reinforcement Learning #Deployment #Python #AI (Artificial Intelligence) #Deep Learning #Azure #Distributed Computing #Hugging Face
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, InfoVision, Inc., is seeking the following. Apply via Dice today!
Hi
We have an immediate Openings with Our Direct Client for a Long-term contract position
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, Google Cloud Platform) 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.
If interested, Please share below details with update resume:
Full Name:
Phone:
E-mail:
Rate:
Location:
Visa Status:
Availability:
SSN (Last 4 digit):
Date of Birth:
LinkedIn Profile:
Availability for the interview:
Availability for the project:
Dice is the leading career destination for tech experts at every stage of their careers. Our client, InfoVision, Inc., is seeking the following. Apply via Dice today!
Hi
We have an immediate Openings with Our Direct Client for a Long-term contract position
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, Google Cloud Platform) 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.
If interested, Please share below details with update resume:
Full Name:
Phone:
E-mail:
Rate:
Location:
Visa Status:
Availability:
SSN (Last 4 digit):
Date of Birth:
LinkedIn Profile:
Availability for the interview:
Availability for the project:





