Generative AI Engineer - Kolkata, India - Dash Neuron

    Dash Neuron
    Dash Neuron Kolkata, India

    Found in: Appcast Linkedin IN C2 - 1 week ago

    Default job background
    Description

    Generative AI Engineer - Must have DNN, PyTorch, TensorFlow, RAG, LLM Fine-tuning, Streamlit and Basic Node/React JS Experience

    Position - Contract

    Location - Kolkata, West Bengal

    Company Description

    Dashneuron is a company that focuses on creating "Interactive Artificial Intelligence" products and solutions. We help clients discover and make use of insights hidden within complex data through an "interactive interface" without requiring AI/ML technical skills. Dashneuron offers a comprehensive range of products, industry solutions, and services to ensure that clients stay ahead in an ever-changing technology landscape and achieve their business goals and outcomes.

    Key Responsibilities (mandatory):

    • Contribute to the development and customization of generative AI models
    • Implement advanced machine learning techniques, including custom model building
    • Hands-on experience with LLM fine-tuning and RAG techniques - Open Source and GPT4
    • Build quick frontends using Streamlit and basic Node/React JS
    • Experienced in ML software development best practices - GitHub code commit, VS Code, CI/CD
    • Deploy ML models on cloud platforms such as AWS, GCP, or Azure, ensuring high availability and scalability.
    • LLMOps best practices - at least in one cloud platform
    • Monitor ML models to maintain and improve their performance post-deployment, using the latest tools and methodologies.
    • Work closely with cross-functional teams to integrate AI capabilities into broader systems and workflows.
    • Document development processes and model configurations for transparent knowledge sharing and regulatory compliance.

    Qualifications:

    • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Economics, Statistics, Mathematics.
    • Proficient in Python and machine learning frameworks like TensorFlow or PyTorch.
    • Proven experience in machine learning, with a strong foundation in natural language processing and neural network architectures.
    • Demonstrable knowledge of model building, gradient descent optimization, and loss function configuration.
    • Experience with ML model monitoring and troubleshooting in a production environment.
    • Familiarity with deploying and managing applications on at least one major cloud platform (AWS, GCP, or Azure).