Gen AI Lead

Role: Gen AI Lead

Duration: Contract

Location: Dallas TX ( Hybrid )

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

o Telecom BSS & OSS domain and understanding of fixed mobile IoT & convergence domains and related markets

o Business Systems (BSS)- Understanding of E2E BSS Solutions across Sales Marketing Finance Product Management Care areas for CSPs.

o 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.