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GENAI/ML Engineer

Roles & Responsibilities

  • Prototyping and MVP development: ability to build prototypes, PoCs, and MVPs for GenAI/AI projects
  • Strong AI/ML foundation: solid knowledge of AI, deep learning, and machine learning principles
  • Programming and tooling: Python proficiency with Hugging Face, Langchain, and OpenAI API
  • DL frameworks and platforms: experience with TensorFlow, Keras, PyTorch; familiarity with Google Model Garden, Amazon Bedrock, Nvidia Nim; experience with multi-modal data and intelligent agent-based tools

Requirements:

  • Develop prototypes, PoCs, and MVPs for GenAI/AI solutions
  • Design, implement, and optimize AI/ML models using Python and relevant tooling (Hugging Face, Langchain, OpenAI API)
  • Collaborate with cross-functional teams to deliver scalable AI solutions and drive innovation
  • Evaluate and integrate cloud platforms and multi-modal data/agent-based tools (Google Model Garden, Amazon Bedrock, Nvidia Nim)

Job description

GenAI Engineer

100% Remote

ONLY W2 Candidates

Skill sets: Ability to develop prototypes, PoCs, MVPs using one or more of the following,

AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles.

Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.

Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch.

Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim.

Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools.

Mindset: Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have collaborative and an innovative mindset.

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