Satalia
51 - 200 employees
Founded 2010
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
💰 Grant on 2016-02
Artificial Intelligence • B2B • Enterprise
Satalia is a company that leverages advanced technologies to optimize and improve various business operations. They provide a platform for cloud development and data-driven services, employing cloud architects and data scientists to deliver innovative solutions. Satalia operates remotely, with locations in Greece, London, Kaunas, and Vienna. They focus on integrating analytics and marketing strategies to enhance user experience and functionality on their platforms.
Senior Data Scientist
🕒 April 30
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Satalia
51 - 200 employees
Founded 2010
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
💰 Grant on 2016-02
Artificial Intelligence • B2B • Enterprise
Satalia is a company that leverages advanced technologies to optimize and improve various business operations. They provide a platform for cloud development and data-driven services, employing cloud architects and data scientists to deliver innovative solutions. Satalia operates remotely, with locations in Greece, London, Kaunas, and Vienna. They focus on integrating analytics and marketing strategies to enhance user experience and functionality on their platforms.
📋 Description
• Design and run training pipelines - data curation, model selection, hyperparameter search, ablation studies - and be accountable for model quality on live traffic • Build and maintain production inference services (latency budgets, batching strategies, quantisation, monitoring) that serve WPP's global client base • Architect agentic AI systems: define tool schemas, orchestration logic, evaluation criteria, and failure modes for multi-step LLM workflows • Work across the stack when needed - write the data pipeline, train the model, build the evaluation harness, deploy the service, and debug it when metrics drift • Set technical direction for your workstream: write design docs, make build-vs-buy decisions, and defend your approach with evidence • Mentor and set the quality standards for junior scientists
🎯 Requirements
• 5+ years shipping ML models to production • Deep, demonstrable expertise in at least one of: NLP/LLMs, computer vision, recommender systems, or causal inference • Hands-on experience with LLM fine-tuning (LoRA, RLHF, DPO) or building LLM-powered systems (agents, RAG, structured generation) • Strong software engineering habits - version control, testing, code review, CI/CD • Comfort with ambiguity • Clear communication - you can write a one-page design doc that is useful for both product managers and staff engineers
🏖️ Benefits
• healthcare • Remote working - café, bedroom, beach - wherever works • Truly flexible working hours - school pick up, volunteering, gym • Generous Leave – holidays in line with Greek Law, plus bank holidays and enhanced family leave • Impactful projects - focus on bringing meaningful social and environmental change • People oriented culture - wellbeing is a priority, as is being a nice person • Transparent and open culture - you will be heard • Development - focus on bringing the best out of each other
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