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Gen AI Lead

TechDigital
  • Dallas, TX
    15 days ago

    Job Description

    Gen AI Lead
    Mandatory Skills: Gen AI/Agentic AI /ML
    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, 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, NetCracker, CSG etc.)
    Preferred Qualifications:
    • Certification in AI/ML, Deep Learning, or Generative AI is a plus.

    Numbers & Facts

    LocationDallas, TX
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Skills

    • A/B Testingunmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Application Frameworkunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Automationunmatched
    • Best Practicesunmatched
    • Business Solutionsunmatched
    • Cloud Computingunmatched
    • Commercial Off-the-Shelf (COTS)unmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Conversation Engineunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Scienceunmatched
    • Data Visualizationunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Deep Learningunmatched
    • Distributed Computingunmatched
    • Djangounmatched
    • Dockerunmatched
    • Financeunmatched
    • Flaskunmatched
    • Forecastingunmatched
    • GCP (Good Clinical Practices)unmatched
    • Gitunmatched
    • Internet Technologyunmatched
    • Internet of Thingsunmatched
    • MCP - Microsoft Certified Professionalunmatched
    • Machine Learningunmatched
    • Marketingunmatched
    • Microsoft Windows Azureunmatched
    • Modeling Languagesunmatched
    • MySQLunmatched
    • Operational Support Systems (OSS)unmatched
    • Performance Tuning/Optimizationunmatched
    • PostgreSQLunmatched
    • Power BIunmatched
    • Predictive Modelingunmatched
    • Product Demonstrationunmatched
    • Product Lifecycleunmatched
    • Product Managementunmatched
    • Programming Languagesunmatched
    • Proof of Conceptunmatched
    • Python Programming/Scripting Languageunmatched
    • R Programming Languageunmatched
    • Requirements Managementunmatched
    • Retailunmatched
    • SQL (Structured Query Language)unmatched
    • Scala Programming Languageunmatched
    • Software Engineeringunmatched
    • Solution Salesunmatched
    • Statisticsunmatched
    • Tableauunmatched
    • Technical Writingunmatched
    • Telecommunications Industryunmatched
    • Time Series Analysisunmatched
    • Use Casesunmatched
    • Web Application Frameworkunmatched
    • Web Programmingunmatched

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