TL;DR

Data Scientist (AI): Building and optimizing scalable LLM integration architectures and document processing pipelines with an accent on generative AI, prompt engineering, and MLOps. Focus on designing intelligent metadata extraction workflows, domain-specific model fine-tuning, and ensuring compliance and explainability of AI models.

Company

%hirify_global% is a blend of Swiss business management and Serbian software engineering talent, supporting products and services with a mission to create outstanding career opportunities in an international environment.

What you will do

Design and implement scalable LLM integration architectures and document processing pipelines
Develop prompt engineering strategies and optimize AI system performance
Implement MLOps practices including experiment tracking, CI/CD, and production deployment on AWS
Design metadata extraction workflows, document classification, and data enrichment pipelines
Collaborate on RAG implementations and domain-specific model fine-tuning
Ensure compliance, interpretability, and explainability of deployed AI models

Requirements

4+ years of experience in Machine Learning and Data Science
Very good oral and written English skills
Hands-on experience with Generative AI, LLMs, Python, NLP, and ML libraries
Experience with LangChain, LlamaIndex, Hugging Face Transformers, and AWS AI/ML services
Familiarity with Docker, Kubernetes, and CI/CD pipelines for ML deployments

Culture & Benefits

Flexible working hours and work-life balance
Team activities including retreats, workshops, and hackathons
Opportunities for professional growth through knowledge-sharing and webinars
International team of world-class engineers
Modern, sunny, open working space with a positive atmosphere
Referral fee after successful probation period