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Senior Data Scientist (GenAI)

MindPal·165 – 180 PLN

Primary stack

PythonRAGCI/CD

Nice to have's

LangChainLangGraphvector searchhybrid searchrerankingcontext acquisition

Job description

About the Position

Senior Data Scientist (GenAI)

Remote

165 - 180 PLN/month

Warsaw, Poland


Responsibilities

  • Design GenAI solutions aligned with business and technical needs
  • Select models and approaches based on specific use cases
  • Develop production solutions using LLM, RAG, and agentic systems
  • Build mechanisms to use knowledge from multiple data sources
  • Design and optimize retrieval, processing, and delivery of context to models
  • Create methods to measure quality, stability, and effectiveness of generative solutions
  • Experiment with models and adaptation methods for target applications
  • Implement controls for model responses and overall solution safety
  • Optimize solutions for quality, performance, scalability, and cost
  • Design integration of AI components with existing systems and data sources
  • Validate new models, frameworks, and approaches for production viability
  • Promote technical best practices (design patterns, code quality, GenAI development)
  • Co-create standards and reusable components for future AI initiatives

Requirements

  • Minimum 6 years of experience in Data Science or AI
  • Minimum 2 years of experience with production LLM-based solutions
  • Very good Python skills and ability to build quality, testable production code
  • Practical experience designing and developing RAG systems
  • Very good knowledge of LLMs, agentic systems, and conversational solutions
  • Experience with vector search, hybrid search, and reranking; optimize context acquisition
  • Practical knowledge of LangChain, LangGraph, or similar GenAI frameworks
  • Experience with MCP and integration of models/agents with external tools or data sources
  • Very good understanding of LLM evaluation methods and experience measuring generative solution quality
  • Very good ML foundations (evaluation methods, metrics, model lifecycle)
  • Experience with cloud platforms (Azure/AWS/GCP)
  • Knowledge of CI/CD, testing, and containerization of AI solutions
  • Ability to translate business problems into technical concepts and solution approaches
  • Strong analytical skills for complex AI problems
  • Very good English communication skills in an international environment

We Offer

  • Work on production projects using LLM, RAG, and agentic systems
  • Opportunity to take AI initiatives from concept/experiments to deployment and ongoing optimization
  • Flexibility to choose models, technical approaches, and solution strategies for specific problems
  • Evaluate new GenAI technologies and apply them in practice
  • Help shape project standards and reusable approaches for future AI solutions

About the Company

At TQLO SP. Z O.O., we are dedicated to pushing the boundaries of artificial intelligence and data science. Our team is composed of passionate professionals committed to developing cutting-edge GenAI solutions that drive innovation and efficiency across various industries.

© MindPal. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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MindPal

Recruitment & HR Tech,AI & Automation,Fintech,E-learning,Healthcare,E-commerce

About the Company MindPal is a project initiated by Sky Gate Company, designed to address challenges in IT recruitment by connecting companies with candidates through a unique platform. The company focuses on delivering talent, technology, and traction to clients, having successfully partnered with over 250 businesses globally. MindPal specializes in AI-driven digital transformation, offering scalable solutions for startups and enterprises across various industries. Products, Services & Tech Stack Core Solutions AI Agents & Assistants: Intelligent AI agents that automate tasks, manage workflows, and provide real-time support. MVP Development: Transforming business ideas into working products for quick testing and validation. AI Consulting: Expert guidance on AI strategy and implementation. Chatbots: Custom conversational bots for user engagement and support. SaaS Solutions: Scalable cloud-based products tailored to business needs. AI Automation: Tools for optimizing workflows and increasing operational efficiency. Technologies & Frameworks Ruby on Rails React TypeScript Docker Heroku Django Angular Python VOIP Jenkins Project Scope & Target Clients Client Base Verticals: Fintech, e-learning, healthcare, e-commerce. Client Types: Startups and established Fortune 500 corporations. Engineering Scale Scope: Full-stack digital product consulting and partnership. Complexity: Projects range from MVP development to full-scale SaaS solutions.

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