Machine Learning Engineer - Python/LLM (5-10 yrs)

Mandatory Skills : ML models, Agentic Design Patterns (ReAct, ReWoo), LLMCompiler, LLM as judge, Multi-modal RAG system, GraphRAG, AI/ML development, Python, LLM models, ML frameworks (Tensorflow, PyTorch etc.)

We are looking for a highly skilled ML Engineer with experience in cutting-edge design patterns and AI-powered applications. The ideal candidate will have a deep understanding of agentic design patterns, multi-modal RAG systems, and practical product development experience.

Responsibilities :

- Design and implement Agentic Design Patterns, such as ReAct and ReWoo, to enhance the functionality and adaptability of AI systems.

- Utilize LLMCompiler to create efficient and scalable models and leverage LLM as Judge for decision-making processes.

- Develop and optimize Multi-modal RAG systems, integrating diverse data modalities for advanced retrieval-augmented generation.

- Implement and maintain GraphRAG solutions for enhanced reasoning and contextual information retrieval.

- Collaborate with cross-functional teams to translate cutting-edge 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 practical product development experience.

- Expertise in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and large language models (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.