Offer summary

Qualifications:

MS/PhD in Computer Science, Machine Learning, Artificial Intelligence or a related field., 5+ years of experience in machine learning, focusing on production-ready systems., Proficiency in Python and experience with frameworks like scikit-learn, TensorFlow, and PyTorch., Strong expertise in agent architectures and familiarity with retrieval-augmented generation (RAG) techniques..

Key responsibilities:

Develop and deploy AI agents to solve real-world problems.

Design and implement robust systems for AI agent decision-making.

Create and optimize pipelines for model deployment and monitoring.

Enhance retrieval-augmented generation (RAG) systems for context-aware AI responses.

Job description

Our Client, who is a Series-A funded startup, is seeking a fully-remote ML Engineer to join their fast-growth team.

Duties:

Develop and deploy AI agents to solve real-world problems
Design and implement robust systems to enhance AI agent decision-making and ensure reliable interaction
Create and optimize pipelines for model deployment, monitoring, and scaling in production environments
Enhance retrieval-augmented generation (RAG) systems for context-aware AI agent responses

Requirements:

MS/PhD in Computer Science, Machine Learning, Artificial Intelligence or a related field
5+ years of experience in machine learning, with a focus on building production-ready systems
Proficiency in Python and strong experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch
Experience in deploying and scaling AI/ML models using cloud services such as AWS
Strong expertise in agent architectures, reinforcement learning, or other systems built on top of LLMs
Familiarity with retrieval-augmented generation (RAG) techniques and integration of external knowledge bases or APIs into AI agents

Required profile