
Machine Learning Engineer
2 weeks ago
At Reputeo, we're transforming the way data is collected, analyzed, and turned into actionable insights across several industries. We're expanding our AI team with a
Machine Learning Engineer
who is ready to build production-grade Generative AI solutions.
This role is ideal for someone combining strong data analyst foundations with real-world experience in building and deploying intelligent systems.
You'll be joining an
amazing, collaborative team
working from our Belgrade office with a
hybrid work model
. We're building
global-scale products
designed to be deployed across markets and industries.
What you'll work on:
- Build intelligent agents
for conversational search experiences that understand user intent and domain-specific context.
- Develop a cybersecurity AI layer
to assess open-source data for cyber and brand risks, automating early threat detection.
- Create an AI assistant
that streamlines security operations by analyzing alerts and closed-source logs to generate actionable insights.
Requirements:
- Strong Python skills (scikit-learn, LangChain, LlamaIndex, PyThorch), experience with modern LLM APIs (OpenAI, DeepSeek, Mistral, Claude), and experience with Ollama
- Hands-on experience with document parsing, summarization, RAG pipelines, and prompt engineering
- Proven experience working as a
data scientist
with applied business impact. Special focus on data preparation, data annotation and exploratory data analysis.
- Familiarity with SQL and noSQL databases, Chroma, Docker, Git.
- Familiarity with techniques and approaches for fine-tuning LLM models.
- Ability to collaborate with cross-functional teams and communicate insights clearly
If you're passionate about applying state-of-the-art machine learning to real-world problems and want to shape the future of intelligent data systems, we'd love to hear from you.
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