AI Innovation Engineer

3 weeks ago


Bengaluru, Karnataka, India SAMSUNG Full time

Position Overview

Samsung is seeking a highly skilled Generative AI Developer to spearhead the automation revolution across various domains.

  • Leverage generative AI to identify and implement opportunities for code improvement, boosting efficiency and performance.
  • Design and build automated systems that seamlessly interact with and orchestrate diverse APIs, freeing up valuable human resources.
  • Utilize generative AI to automate report generation and summarization, extracting key insights and presenting them in clear, concise formats.
  • Streamline and automate the entire data science workflow, from data acquisition and preparation to analysis and model development.

Key Responsibilities

As a Generative AI Developer, you will:

  1. Utilize state-of-the-art open-source LLMs for various tasks.
  2. Leverage Hugging Face API and its extensive libraries for model access and manipulation.
  3. Adapt and personalize pre-trained models for specific use cases.
  4. Understand and wield RAG model capabilities for information retrieval for augmenting Workflows.
  5. Manage and process high-dimensional data with vector databases.
  6. Orchestrate complex workflows using advanced frameworks like Langchain.
  7. Proactively stay updated on the latest advancements in the AI field.
  8. Keenly track emerging technologies and their potential applications.
  9. Continuously seek out new ways to leverage AI for impactful solutions.
  10. Design, develop, and implement state-of-the-art generative AI models using deep learning libraries like TensorFlow or PyTorch.
  11. Collaborate with cross-functional teams (data scientists, engineers, product managers) to define project goals, research requirements, and develop innovative solutions.
  12. Evaluate and select appropriate AI tools and frameworks for specific tasks.
  13. Train and optimize generative AI models to achieve desired performance metrics.
  14. Monitor and maintain deployed models, ensuring their accuracy and efficiency.
  15. Stay abreast of the latest advancements in generative AI research and development.

Requirements and Qualifications

Typically requires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years.



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