Requirements:
- 13 years of experience in AI/ML or relevant hands-on projects
- Strong programming fundamentals in Python
- Familiarity with PyTorch TensorFlow or Scikit-learn
- Basic understanding of LLM concepts and prompt engineering
- Exposure to computer vision fundamentals
- Understanding of data preprocessing evaluation and model validation techniques
- Exposure to Hugging Face LangChain or OpenAI APIs
- Familiarity with RAG (Retrieval-Augmented Generation) concepts
- Exposure to cloud-based AI environments
- Academic or practical AI project experience
- Strong learning mindset and willingness to grow
- Willingness to experiment under guidance
- Structured and clean implementation approach
- Ability to collaborate effectively with cross-functional teams
Responsibilities:
- Assist in building LLM-based applications such as chatbots RAG systems and AI assistants
- Work on data preprocessing and model training pipelines
- Implement model inference pipelines and integrate AI APIs
- Assist in fine-tuning and evaluating AI/ML models
- Work with embeddings and vector databases
- Monitor model outputs and support performance optimization
- Document AI workflows experiments and implementation processes
Requirements: 13 years of experience in AI/ML or relevant hands-on projectsStrong programming fundamentals in PythonFamiliarity with PyTorch TensorFlow or Scikit-learnBasic understanding of LLM concepts and prompt engineeringExposure to computer vision fundamentalsUnderstanding of data preprocessing...
Requirements:
- 13 years of experience in AI/ML or relevant hands-on projects
- Strong programming fundamentals in Python
- Familiarity with PyTorch TensorFlow or Scikit-learn
- Basic understanding of LLM concepts and prompt engineering
- Exposure to computer vision fundamentals
- Understanding of data preprocessing evaluation and model validation techniques
- Exposure to Hugging Face LangChain or OpenAI APIs
- Familiarity with RAG (Retrieval-Augmented Generation) concepts
- Exposure to cloud-based AI environments
- Academic or practical AI project experience
- Strong learning mindset and willingness to grow
- Willingness to experiment under guidance
- Structured and clean implementation approach
- Ability to collaborate effectively with cross-functional teams
Responsibilities:
- Assist in building LLM-based applications such as chatbots RAG systems and AI assistants
- Work on data preprocessing and model training pipelines
- Implement model inference pipelines and integrate AI APIs
- Assist in fine-tuning and evaluating AI/ML models
- Work with embeddings and vector databases
- Monitor model outputs and support performance optimization
- Document AI workflows experiments and implementation processes
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