Gen AI Lead - Dallas, TX ( Hybrid

Gen AI Lead

Location:

Dallas, TX (Hybrid)

W2 Contract

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, Thought Spot, 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),Lang Chain, Lang Graph, Explainable AI, Conversational AI, Chat bots and Tuning, LLM Evaluations and Cost monitoring, Hugging Face
• Tools/Framework:
  Git, Tensor Flow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV, Azure, YOLO, Scikit-Learn, FastAPI, Flask, Django, Keras, Pandas, Num Py, Polars, Sci Py, Matplotlib, Seaborn, Plotly, 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, Net Cracker, CSG etc.)

Preferred Qualifications:

• Certification in AI/ML, Deep Learning, or Generative AI is a plus.