Gen AI Lead

Dallas, IA - USA

Monthly Salary: Not Disclosed

Posted on: 04-11-2025

Vacancies: 1 Vacancy

Job Summary

JOB DESCRIPTION:
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 SeabornPlotly Streamlit
Cloud & MLOps: AWS Sagemaker Azure ML or GCP 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 GCP).
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.

JOB DESCRIPTION: 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 a...

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 SeabornPlotly Streamlit
Cloud & MLOps: AWS Sagemaker Azure ML or GCP 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 GCP).
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: