Gen AI Engineer

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profile Job Location:

Hartford, CT - USA

profile Monthly Salary: Not Disclosed
Posted on: 1 hour ago
Vacancies: 1 Vacancy

Job Summary

ob Description

  1. AI/ML Knowledge: Strong foundation in AI deep learning and machine learning principles.
  2. Programming Skills: Expertise in Python and tools like Hugging Face Langchain and OpenAI API.
  3. Large Language Model Expertise: Hands-on experience building fine-tuning evaluating and deploying LLMs (open-source and commercial).Agentic AI & Workflow
  4. Orchestration: Experience building agent-based systems using tools like LangGraph CrewAI OpenAI agents or similar frameworks..
  5. Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools.

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


Required Skills:

AI Deep Learning Frameworks Python

Job Responsibilities

Job Duties:

Build and develop models to improve and enhance the current environment for better understanding and recommendations.


Job Requirements:

  • 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.


Required Skills :

Basic Qualification :

Additional Skills :

Background Check : Yes

Drug Screen : No

ob DescriptionAI/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. Large Language Model Expertise: Hands-on experience building fine-tuning evaluating and deploying LLMs...
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