Fullstack Data Scientist – Freelancer

This is a fully remote position, open to applicants in Poland.

📋 Description

• Lead the identification and design of solutions for GenAI use cases, converting business challenges into actionable architectures.

• Develop comprehensive GenAI applications that encompass data ingestion, retrieval, orchestration, APIs/backends, and user-friendly interfaces.

• Create and implement Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks.

• Conduct model selection, prompting, fine-tuning, evaluation, and A/B testing for models related to text, code, and multimodal data.

• Enforce safety, compliance, and governance measures, which include filters, handling of Personally Identifiable Information (PII), audit logging, and human-in-the-loop reviews.

• Collaborate with data engineers, product owners, and full-stack developers to design scalable architectures, establish Service Level Agreements (SLAs), and facilitate enterprise integrations.

• Collect technical requirements and provide estimates for planned tasks.

• Mentor data scientists and engineers in GenAI methodologies, code quality, and industry best practices.

• Contribute to the development of internal libraries, templates, and reusable components.

• Remain updated on the GenAI landscape and conduct targeted proofs of concept.

• Role: Fullstack Data Scientist engaged in GenAI and applied AI initiatives.

⛳️ Requirements

• 6+ years of experience in Data Science or AI engineering.

• At least 4+ years of experience in developing production-ready Python AI-related code.

• Minimum of 2+ years of experience in developing production-ready code related to Large Language Models (LLMs), ideally based on the Retrieval-Augmented Generation (RAG) methodology.

• Strong analytical and problem-solving abilities with a focus on optimizing AI solutions for various applications.

• Comprehensive knowledge and experience in Generative AI, including LLMs, chatbots, AI agents, and RAG mechanisms.

• In-depth understanding of LLM evaluators, validators, and safety measures.

• Practical experience with one or more GenAI frameworks such as LangChain, LlamaIndex, LangGraph, or similar orchestration tools.

• Hands-on experience in designing or managing MCP servers/clients for LLM agents.

• Proficient in Python, including the development of production-grade code, packaging, and testing for data and ML services.

• Solid grasp of ML/AI concepts: algorithm types, machine learning frameworks, model efficiency metrics, model lifecycle, and AI architectures.

• Familiarity with cloud platforms like Azure, GCP, or AWS, including AI-focused managed services.

• Knowledge of CI/CD practices, testing, and containerized deployments.

• Excellent communication skills in English.

• Experience in designing and implementing ML algorithms and data processing pipelines using Python.

• Good understanding of CI/CD and DevOps principles, with experience in GitHub Actions, GitLab, or Azure DevOps.

• Experience in productizing ML solutions using Spark/Databricks or Docker/Kubernetes.

• Experience with frameworks for agentic AI development.

🏝️ Benefits

• Opportunity to work on cutting-edge technology in the field of GenAI.

• Collaborative and innovative work environment.

• Professional development and mentoring opportunities.

• Competitive salary and benefits package.