Machine Learning Engineer

Required Skills

Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.

Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch

Proven experience working with Large Language Models (LLMs)

Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns

Create multi-agent systems and equip AI models with function/tool-calling capabilities

Design and implement RAG systems to ground AI responses in enterprise data

Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability

Optimize agentic workflows and AI agents for production use cases

Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs

Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them

Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes

Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions