Lingaro

Fullstack Data Scientist - Freelance (Part-time)

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SeniorZdalnie·WarszawaPart-time

#453640·Dodano 22 dni temu·11

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Data scienceGenerative AI

Firma i stanowisko

Lingaro is a global technology partner operating since 2008 with over 1,600 professionals across 7 global locations. It emphasizes diversity, equity, inclusion, and an ethical business approach ensuring equal opportunities and a respectful workplace.

Wymagania

Minimum 6 years of experience in Data Science/AI engineering.
At least 4 years developing production-ready Python AI code.
At least 2 years developing production-ready LLM-related code, preferably based on Retrieval-Augmented Generation (RAG).
Strong analytical and problem-solving skills for optimizing AI solutions.
Deep knowledge and experience with Generative AI, including LLMs, chatbots, AI agents, and RAG mechanisms.
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 including algorithms, frameworks, model lifecycle, and architectures.
Proven collaboration skills across technical and non-technical teams.
Familiarity with cloud environments like Azure (preferred), GCP, or AWS, including AI-related managed services.
Familiarity with CI/CD, testing, and containerized deployments.
Excellent communication skills in English.

Obowiązki

Lead discovery and solution design for GenAI use cases, translating business problems into architectures for LLM decision, RAGs, fine-tuning, agents, and guardrails.
Build end-to-end GenAI applications including data ingestion, retrieval layer, orchestration stacks (e.g., LangChain, LlamaIndex, LangGraph), API/backend, and UI components.
Design and implement Retrieval-Augmented Generation pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks.
Perform model selection, prompting strategies, and fine-tuning (LoRA/QLoRA/SFT) for various models including text, code, and multimodal, with 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 reviews.
Collaborate with data engineers, product owners, and full-stack developers on architectures, SLAs, and enterprise system integrations.
Gather technical requirements and estimate planned work.
Mentor data scientists/engineers on GenAI patterns, code quality, best practices, contributing to internal libraries and reusable components.
Stay updated on GenAI landscape, conducting PoCs on new models and frameworks.

Benefity

Open-ended freelance (B2B) agreement.
Part-time engagement up to 50% of full-time workload.
Flexible schedule with the ability to accept or decline projects.
Equipment provided by the company or access to virtual machines.
Work remotely with flexible hours.
Be part of a diverse, inclusive, and values-driven community.
Autonomy in choosing the way to work.

Elastyczne godziny

Lingaro

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