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Gen AI Lead - Dallas, TX ( Hybrid)
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This role is for a Gen AI Lead in Dallas, TX (Hybrid) on a W2 contract. It requires 15+ years in AI/ML, expertise in Generative AI, Python, and telecom domain experience. Certification in AI/ML is preferred. Pay rate is "unknown."
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 10, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dallas, TX
-
🧠 - Skills detailed
#Programming #AI (Artificial Intelligence) #A/B Testing #Model Evaluation #ML (Machine Learning) #OpenCV (Open Source Computer Vision Library) #S3 (Amazon Simple Storage Service) #Plotly #Keras #Cloud #Data Science #Flask #Kubernetes #Time Series #Tableau #Distributed Computing #Databricks #PySpark #Python #SciPy #Streamlit #TensorFlow #Data Pipeline #Django #AWS SageMaker #PyTorch #Trino #Microsoft Power BI #Pandas #Model Deployment #FastAPI #Matplotlib #Monitoring #NumPy #Azure #BI (Business Intelligence) #Data Engineering #Data Integration #Deployment #Forecasting #MySQL #Deep Learning #Documentation #Spark (Apache Spark) #ThoughtSpot #Visualization #IoT (Internet of Things) #Predictive Modeling #SAS #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Web Scraping #Langchain #AWS (Amazon Web Services) #Automation #Anomaly Detection #SageMaker #Docker #GCP (Google Cloud Platform) #R #MLflow #Scala #GIT
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, USG, Inc., is seeking the following. Apply via Dice today!
Hello,
Hope you are fine.
I have multiple opportunities for Gen AI Lead with my client. Please go through the below job description and let me know your interest for the same
Role Name: Gen AI Lead
Location: Dallas, TX ( Hybrid )
W2 Contract
Job Description
Mandatory Skills: Gen AI/Agentic AI /ML
Keywords: AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering
Role Overview:
Sr AI/ML Lead with around 15+ years of hands-on experience in developing and implementing Machine Learning and Generative AI solutions. The role involves designing, developing, and deploying end-to-end AI/ML applications using Python, popular ML frameworks, and modern web technologies.
TECHNICAL SKILLS: Must Have Skills
Machine learning development lifecycle - (Data preparation, Data visualization, Statistical Analysis, feature engineering, Predictive modeling, Model deployment, Model monitoring), CI/CD, MLOps, Generative
AI, Causal Inference, Time series analysis, Forecasting, Anomaly detection, Hypothesis testing, A/B testing, Git Actions, Tableau, Power BI, ThoughtSpot, Web Scraping
Data & Engineering SQL, MySQL, Postgres, Spark, S3, Trino, Data Factory, ETL, Data pipelines, Databricks and distributed computing.
Programming Languages: SQL, Pyspark, Scala, R, Python, SAS
Gen AI & Agents Prompt Engineering, RAG, Vector DB, Agentic Frameworks, MCP, Large Language Models (LLMs),LangChain, LangGraph, Explainable AI, Conversational AI, Chat bots and Tuning, LLM Evaluations and Cost monitoring, HuggingFace
Tools/Framework: Git, TensorFlow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV, Azure, YOLO, Scikit-Learn, FastAPI, Flask, Django, Keras, Pandas, NumPy, Polars, SciPy, Matplotlib, Seaborn,Plotly, Streamlit
Cloud & MLOps: AWS Sagemaker, Azure ML, or Google Cloud Platform AI Platform; Git, Docker, CI/CD.
Role Activities:
Design, develop, and deploy AI/ML and Generative AI models for enterprise and telecom use cases.
Build and optimize data pipelines for training, validation, and inference processes.
Develop web-based AI applications using frameworks like Flask, FastAPI, or Django.
Implement LLM-based solutions such as chatbots, summarization, and RAG-based systems.
Collaborate with data scientists, solution architects, and business teams to understand functional requirements and translate them into technical implementations.
Participate in proof-of-concept (PoC) development for AI/ML and automation use cases.
Conduct model evaluation, fine-tuning, and performance optimization.
Work with APIs, data sources, and cloud-based ML services (AWS, Azure, Google Cloud Platform).
Follow best practices in MLOps, model versioning, and CI/CD integration.
Prepare technical documentation, training materials, and demo presentations.
Domain Skills Requirements:
At least 10+ years of experience in AI/ML development and Python-based solutions for Telco/Retail Domains
Desired Domain Experienced
• Telecom BSS & OSS domain and understanding of fixed, mobile, IoT & convergence domains and related markets
• Business Systems (BSS)- Understanding of E2E BSS Solutions across Sales, Marketing, Finance, Product Management, Care areas for CSPs.
• Knowledge on data integration for telecom industry B/OSS COTS & Data Models ( Amdocs, NetCracker, CSG etc.)
Preferred Qualifications:
Certification in AI/ML, Deep Learning, or Generative AI is a plus.
Regards
Jaya Kushwaha
Associate Manager Recruitment
Email:
Phone: Ext. 676
USG Inc. | Vivid Soft Global Inc.
eye
Dice is the leading career destination for tech experts at every stage of their careers. Our client, USG, Inc., is seeking the following. Apply via Dice today!
Hello,
Hope you are fine.
I have multiple opportunities for Gen AI Lead with my client. Please go through the below job description and let me know your interest for the same
Role Name: Gen AI Lead
Location: Dallas, TX ( Hybrid )
W2 Contract
Job Description
Mandatory Skills: Gen AI/Agentic AI /ML
Keywords: AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering
Role Overview:
Sr AI/ML Lead with around 15+ years of hands-on experience in developing and implementing Machine Learning and Generative AI solutions. The role involves designing, developing, and deploying end-to-end AI/ML applications using Python, popular ML frameworks, and modern web technologies.
TECHNICAL SKILLS: Must Have Skills
Machine learning development lifecycle - (Data preparation, Data visualization, Statistical Analysis, feature engineering, Predictive modeling, Model deployment, Model monitoring), CI/CD, MLOps, Generative
AI, Causal Inference, Time series analysis, Forecasting, Anomaly detection, Hypothesis testing, A/B testing, Git Actions, Tableau, Power BI, ThoughtSpot, Web Scraping
Data & Engineering SQL, MySQL, Postgres, Spark, S3, Trino, Data Factory, ETL, Data pipelines, Databricks and distributed computing.
Programming Languages: SQL, Pyspark, Scala, R, Python, SAS
Gen AI & Agents Prompt Engineering, RAG, Vector DB, Agentic Frameworks, MCP, Large Language Models (LLMs),LangChain, LangGraph, Explainable AI, Conversational AI, Chat bots and Tuning, LLM Evaluations and Cost monitoring, HuggingFace
Tools/Framework: Git, TensorFlow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV, Azure, YOLO, Scikit-Learn, FastAPI, Flask, Django, Keras, Pandas, NumPy, Polars, SciPy, Matplotlib, Seaborn,Plotly, Streamlit
Cloud & MLOps: AWS Sagemaker, Azure ML, or Google Cloud Platform AI Platform; Git, Docker, CI/CD.
Role Activities:
Design, develop, and deploy AI/ML and Generative AI models for enterprise and telecom use cases.
Build and optimize data pipelines for training, validation, and inference processes.
Develop web-based AI applications using frameworks like Flask, FastAPI, or Django.
Implement LLM-based solutions such as chatbots, summarization, and RAG-based systems.
Collaborate with data scientists, solution architects, and business teams to understand functional requirements and translate them into technical implementations.
Participate in proof-of-concept (PoC) development for AI/ML and automation use cases.
Conduct model evaluation, fine-tuning, and performance optimization.
Work with APIs, data sources, and cloud-based ML services (AWS, Azure, Google Cloud Platform).
Follow best practices in MLOps, model versioning, and CI/CD integration.
Prepare technical documentation, training materials, and demo presentations.
Domain Skills Requirements:
At least 10+ years of experience in AI/ML development and Python-based solutions for Telco/Retail Domains
Desired Domain Experienced
• Telecom BSS & OSS domain and understanding of fixed, mobile, IoT & convergence domains and related markets
• Business Systems (BSS)- Understanding of E2E BSS Solutions across Sales, Marketing, Finance, Product Management, Care areas for CSPs.
• Knowledge on data integration for telecom industry B/OSS COTS & Data Models ( Amdocs, NetCracker, CSG etc.)
Preferred Qualifications:
Certification in AI/ML, Deep Learning, or Generative AI is a plus.
Regards
Jaya Kushwaha
Associate Manager Recruitment
Email:
Phone: Ext. 676
USG Inc. | Vivid Soft Global Inc.
eye





