Gen AI Engineer

Acestack

  • Irving, TX
  • 2 days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Artificial Intelligence (AI)unmatched
    • Cloud Computingunmatched
    • Comparative Analysisunmatched
    • Computer Visionunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Data Cleaningunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Deep Learningunmatched
    • GCP (Good Clinical Practices)unmatched
    • Machine Learningunmatched
    • Microsoft Windows Azureunmatched
    • Natural Language Processing (NLP)unmatched
    • Needs Assessmentunmatched
    • Neural Networksunmatched
    • Open Sourceunmatched
    • Performance Tuning/Optimizationunmatched
    • Problem Solving Skillsunmatched
    • Programming Languagesunmatched
    • Python Programming/Scripting Languageunmatched
    • SQL (Structured Query Language)unmatched

    Description


    Job Title: Gen AI Engineer
    Location: Irving, TX (Onsite)
    Fulltime

    Desired Competencies (Technical/Behavioral Competency)

    Must-Have

    Programming languages: Python (proficient) with major ML libraries

    Experience with opensource Gen AI LLMs e.g., Llama and Dolly

    Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers

    Generative AI techniques: Experience with GANs, text-to-image generation, text generation models

    Data wrangling & manipulation: SQL, data cleaning, feature engineering

    Hyperscalers : AWS, Azure, or GCP experience a plus

    Good-to-Have

    On prem and cloud development projects with CI/CD Experience

    Key Expectations from the Role

    1 Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.

    2 Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.

    3 Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.

    4 Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs

    5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development

    Numbers & Facts

    LocationIrving, TX

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