ML Engnieer

Job Title: ML Engineer

Mandatory Skills:

• ML models
  
• Agentic Design Patterns (ReAct, ReWoo)
  
• LLMCompiler
  
• LLM as Judge
  
• Multimodal RAG system
  
• GraphRAG
  
• AI/ML development
  
• Python
  
• LLM models
  
• ML frameworks (TensorFlow, PyTorch, etc.)
  

Job Summary:

We are looking for a highly skilled ML Engineer with expertise in agentic design patterns, multi-modal RAG systems, and AI-powered product development. The ideal candidate will work on cutting-edge AI applications and optimize AI models for real-world use cases.

Responsibilities:

• Design and implement Agentic Design Patterns (ReAct, ReWoo) for adaptable AI systems.
  
• Use LLMCompiler to create efficient models and apply LLM as Judge for decision-making.
  
• Develop and optimize Multi-modal RAG systems for advanced retrieval-augmented generation.
  
• Implement and maintain GraphRAG solutions for enhanced reasoning and information retrieval.
  
• Collaborate with cross-functional teams to translate AI research into production-ready solutions.
  
• Contribute to the development of scalable and robust AI-powered products.
  

Requirements:

• Strong knowledge of Agentic Design Patterns (ReAct, ReWoo).
  
• Proficiency in LLMCompiler and LLM as Judge methodologies.
  
• Experience building Multi-modal RAG and GraphRAG systems.
  
• 5+ years of experience in AI/ML development, including product development.
  
• Expertise in Python, ML frameworks (TensorFlow, PyTorch), and LLMs.
  
• Strong problem-solving and analytical skills with a focus on innovation.
  

Preferred Skills:

• Familiarity with distributed systems and cloud platforms.
  
• Experience in data engineering and model optimization.
  
• Knowledge of graph databases and advanced information retrieval techniques.