Job Description
Job Summary (in List Format):
- AI/ML Knowledge: Strong foundation in artificial intelligence, deep learning, and machine learning principles.
- Programming Skills: Expertise in Python and familiarity with tools such as Hugging Face, Langchain, and OpenAI API.
- Large Language Model (LLM) Experience: Hands-on experience building, fine-tuning, evaluating, and deploying LLMs (both open-source and commercial).
- Agentic AI & Workflow Orchestration: Experience developing agent-based systems using frameworks like LangGraph, CrewAI, or OpenAI agents.
- Multi-Modal Data & AI Tools: Proficiency with multi-modal data and intelligent agent-based tools.
- Deep Learning Frameworks: Experience working with TensorFlow, Keras, and PyTorch.
- Cloud Platforms: Familiarity with platforms such as Google Model Garden, Amazon Bedrock, and Nvidia Nim.
- Prototyping and MVP Development: Ability to develop prototypes, Proof of Concepts (PoCs), and Minimum Viable Products (MVPs).
- Problem-Solving Skills: Self-motivated and passionate about solving complex problems using AI/GenAI.
- Teamwork & Innovation: Collaborative and innovative mindset, able to work effectively in a team environment.
- Background Check: Required.
- Drug Screen: Not required.
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