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    ML/AI Full Stack Engineer - Dallas, United States - EmergiTel

    EmergiTel
    EmergiTel Dallas, United States

    4 weeks ago

    Default job background
    Description

    Key Responsibilities:

    • Collaborate with data scientists and product managers to understand business needs and translate them into technical requirements for machine learning solutions.
    • Design, develop, and implement machine learning models, utilizing a variety of algorithms and techniques including [mention specific examples relevant to the company's focus].
    • Build and manage data pipelines for training and production models, ensuring data quality and efficiency.
    • Train, evaluate, and optimize machine learning models, focusing on performance, fairness, and interpretability.
    • Deploy and monitor models in production environments, ensuring scalability, reliability, and security.
    • Continuously improve existing models and develop new ones to address evolving business needs and technological advancements.
    • Document all stages of the machine learning workflow, ensuring reproducibility and knowledge sharing within the team.
    • Collaborate with other engineers, developers, and researchers to build and integrate machine learning solutions into various systems and applications.
    • Stay informed about the latest developments in the field of machine learning and contribute to the continuous learning and growth of the team.

    Required Skills and Qualifications:

    • Master's degree in Computer Science, Statistics, or any Computational intensive engineering fields.
    • Strong experience in machine learning algorithms and Architectures
    • Strong Experience in Deep Learning approaches and ability to compose novel architectures based on current state of art in, e.g., Transformers and Convolutional.
    • Proficiency in Algorithmic design and analysis, and high degree of comfort in using formal mathematical methods.
    • Experience working with Analytic data and ML tools and frameworks.
    • Excellent communication and collaboration skills
    • Ability to work independently and as part of a team
    • Passion for machine learning and its potential to solve real-world problems

    Desired Technical Experience Qualifications:

    • ML/AI Tools, Libraries, and/or Systems

    o Languages:
    Julia, Python, RUST,GOLang etc.

    o Architectures:
    Convolutional, Attention Transformers, Variational autoencoders, Reinforcement Learning, Generative Adversarial Networks, Large Language Models(Transfomers)

    o Inferencing:
    Probablistic graphical models, Bayesian methods,

    o Optimization :
    Batch/Stochastic Gradient Descent, Hogwild, Adagrad

    o ML Frameworks:
    PyTorch, TensorFlow, etc

    o Data Analysis :
    Modin, Ray, Pandas, , Numpy, Dask

    o Graph Modelling :
    Neo4J, Networkx etc.

    o Vector Storage :
    Milvus, Pinecone, Apache Solr, Weaviate

    o Search Frameworks:
    Haystack, Jina.
    AI


    Experience and Integration

    o GUI prototyping frameworks:
    Streamlit, Gradio
    o Web App Frameworks : React, Gatsby


    o API Frameworks:
    FastAPI


    • Backend
    o Docker Containerization, Compose, o Cache and No-


    SQL DBS :
    Redis, Neo4j, MongoDB, TerminusDB
    o Distributed Data Processing ,Training , and Inferencing: Seldon Core, KubeFlow, CollossalAI


    Scaling Heterogeneous Computing frameworks:
    CUDA, ONNX, GLUE

    o Cloud :
    AWS, Azure, Google Cloud Platform


    • Experience in Dev, ML, & Model OPS
    • Familiarity with ethical considerations in AI development
    • Strong written and verbal communication skills
    • Ability to manage complex projects and meet deadlines
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