Senior Data Scientist

150 - 180 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#457955·Dodano miesiąc temu·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Python GenAI LLMRAGLangChainLandGraphData scienceAILLMsTestingMachine Learning

Firma i stanowisko

Square One Resources is hiring for a project involving generative AI and large language models (LLMs) to solve business problems through concrete architectures and end-to-end applications.

Wymagania

6+ years of experience in Data Science/AI engineering.
At least 4+ years of experience developing production-ready Python AI code.
At least 2+ years of experience in production-ready LLM-related development, preferably using Retrieval-Augmented Generation (RAG).
Strong analytical and problem-solving skills to optimize AI solutions.
Strong knowledge and experience with Generative AI, including LLMs, chatbots, AI agents, and RAG.
Deep understanding of LLM evaluators, validators, and guardrails.
Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex, LangGraph, or similar.
Hands-on experience designing or operating MCP servers/clients for LLM agents.
Strong Python skills including production-grade code, packaging, and testing for data/ML services.
Solid understanding of ML/AI concepts, algorithms, machine learning frameworks, model efficiency metrics, lifecycle, and AI architectures.

Obowiązki

Lead discovery and solution design for GenAI use cases, translating business problems into architectures such as LLM decision, RAGs, fine-tuning, agents, and guardrails.
Build end-to-end GenAI applications including data ingestion, retrieval layer, orchestration (e.g., LangChain, LlamaIndex, LangGraph), API/backend, and simple UI.
Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks.
Perform model selection, prompting strategies, fine-tuning (LoRA/QLoRA/SFT) for text, code, and multimodal models, including evaluation and A/B testing.
Implement safety, compliance, and governance controls such as input/output filters, PII handling, audit logs, and human-in-the-loop review.
Collaborate with data engineers, product owners, and full-stack developers on scalable architectures, SLAs, and integration.
Gather technical requirements and estimate planned work.
Mentor data scientists and engineers in GenAI patterns, code quality, and best practices; contribute to internal libraries and components.
Stay current with GenAI landscape and perform targeted PoCs to validate new models and frameworks.

Benefity

Sport subscription
Private healthcare

Karta sportowa

Opieka zdrowotna

SQUARE ONE RESOURCES

110 aktywnych ofert

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