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GENAI/ML Engineer

Roles & Responsibilities

  • Ability to develop prototypes, PoCs, and MVPs using AI/GenAI techniques
  • Strong foundation in AI, deep learning, and machine learning principles
  • Proficiency in Python and tools such as Hugging Face, Langchain, and the OpenAI API
  • Experience with multi-modal data and intelligent agent-based tools

Requirements:

  • Develop prototypes, PoCs, and MVPs for GenAI/AI-driven products
  • Design, train, evaluate, and deploy AI/ML models and pipelines using Python and tools like Hugging Face, Langchain, and OpenAI API
  • Work with multi-modal data and intelligent agent-based tools to build end-to-end solutions, leveraging DL frameworks and cloud platforms as needed
  • Collaborate with cross-functional teams in a remote, innovative environment to solve hard AI problems

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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