Mid Level ML Engineer

Requirements:

• Proficiency in ML

Job Description:

Develop and fine-tune Large Language Models (LLMs), specifically with RAG (Retrieval-Augmented Generation) systems.
Implement and enhance RAG framework for optimal Gen AI model development.
Design and build Multi-Agentic systems and architect Agentic AI workflows.
Collaborate with data scientists to ensure rapid deployment and optimal performance of AI models using best DevOps practices.
Lead the development of RAG-based LLMs, ensuring seamless integration with RAG APIs and utilising OpenAI API and LangChain.
Streamline AI pipelines following RAG principles, ensuring efficient monitoring and scaling in real-time environments.

Skills Required:

• Embrace continuous learning and adaptation in AI/ML technologies.
• Collaborate in interdisciplinary teams with openness and respect.
• Communicate proactively and adapt to fast deadlines.
• Demonstrate innovation and critical thinking.
• Prioritize quality and reliability in model deployment.