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Machine Learning Engineer (SN0626)

Machine Learning Engineer (SN0626)

On site

Brussels, Belgium

Full Time

20-03-2025

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Job Specifications

Job Description

We are looking for a Machine Learning Engineer to develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance LLM-driven troubleshooting. The ideal candidate will have experience with vector search, cloud deployment on AWS, and machine learning frameworks.

Key Responsibilities

Develop and optimize RAG pipelines for efficient knowledge retrieval in LLM applications.
Work with PyVector to store and retrieve relevant data effectively.
Implement vector embedding models to enhance retrieval accuracy.
Deploy and scale ML models on AWS for cloud-based applications.
Fine-tune and evaluate LLMs for improved task-specific reasoning and accuracy.
Collaborate with a team of global experts to drive innovation in LLM-powered solutions.

Required Skills & Qualifications

1-3 years of industry experience in machine learning and cloud-based ML deployment.
Bachelor’s or Master’s degree from a top university in Computer Science, Machine Learning, AI, or a related field.
Python development skills
RAG architectures
retrieval techniques
PyVector for vector search and retrieval
vector embedding models
AWS cloud services for ML deployment
LangChain, LlamaIndex, or other RAG frameworks.

Hiring Team Member

Avula Srivalli

Recruitment Coordinator

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Mail

About the Company

Welcome to Sansaone, a dynamic force in the realm of ICT talent acquisition. Born out of a passion for excellence and a vision for connecting outstanding professionals with forward-thinking organizations, we stand as a beacon for strategic recruitment solutions in the Information and Communication Technology sector. With a commitment to excellence and a passion for connecting exceptional professionals with innovative organizations, we are your strategic partner in building transformative teams. Know more

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