AI/ML Developer

Roles and Responsibilities

• Design, develop, test, and deploy machine learning models using Python and deep learning frameworks such as TensorFlow or PyTorch.
  
• Collaborate with cross-functional teams to identify business problems that can be solved through data analysis and machine learning techniques.
  
• Implement RAG (Run, Acceptance, and Growth) methodology to ensure high-quality deliverables.
  
• Develop graph neural networks using GraphRAG LangChain or similar tools for complex graph-based applications.
  
• Participate in code reviews and contribute to the development of scalable and efficient algorithms.
  

Desired Candidate Profile

• 2-4 years of experience in developing AI/ML solutions using Python programming language.
  
• Strong understanding of machine learning concepts, including supervised and unsupervised learning methods.
  
• Experience with implementing RAG methodology for project management.
  
• Proficiency in at least one deep learning framework (TensorFlow or PyTorch).
  
• Familiarity with graph neural network libraries like GraphRAG LangChain or similar tools.