Data Scientist with AI

Technologies we use

Expected

• Python
• SQL
• Docker
• Kubernetes

Optional

• PyTorch
• TensorFlow
• scikit-learn
• Azure OpenAI
• GCP Vertex AI
• AWS Bedrock
• SageMaker
• Databricks
• Apache Spark

About the project

We are looking for an experienced Data Scientist with AI to drive innovation by designing, developing, and deploying enterprise-grade Machine Learning and Generative AI solutions for our clients.

This is how we organize our work

This is how we work

• in house
• you have influence on the choice of tools and technologies
• you have influence on the technological solutions applied
• you have influence on the product

Your responsibilities

• Lead end-to-end projects in traditional Data Science, Machine Learning, and cutting-edge Generative AI and Large Language Models (LLMs) — from research and experimentation to production deployment.
• Design and implement scalable AI/ML pipelines and MLOps practices using cloud-native services (e.g., Azure Machine Learning, GCP Vertex AI, AWS SageMaker).
• Develop, optimize, and evaluate LLM-based applications, including RAG (Retrieval-Augmented Generation) systems, leveraging vector stores and prompt orchestration.
• Collaborate with Data Engineers and BI teams to ensure access to high-quality, well-structured data for model training and inference.
• Apply advanced statistical analysis, experimentation (A/B testing, causal inference), and modeling techniques to solve complex business problems.
• Contribute to defining AI roadmaps, ensuring solutions align with business objectives, and driving measurable impact (e.g., cost reduction, performance optimization).
• Ensure adherence to AI governance, security, and data compliance standards within regulated environments.
• Research and evaluate new AI frameworks (e.g., LangChain, CrewAI) and technologies (e.g., multi-modal AI, agentic workflows).

Our requirements

• Minimum 4+ years of experience in Data Science or a similar role, with at least 1+ year of hands-on experience in Generative AI/LLMs.
• Strong programming proficiency in Python (including libraries like PyTorch, TensorFlow, or scikit-learn).
• Hands-on experience with one or more major cloud AI platforms: Azure OpenAI, GCP Vertex AI, or AWS Bedrock/SageMaker.
• Deep understanding of LLMs, embeddings, vector databases, and RAG architectures.
• Proficiency in SQL and experience working with large, complex datasets in cloud environments.
• Solid foundation in statistics, probability, and experimental design (A/B testing).
• Familiarity with containerization (Docker) and orchestration (Kubernetes/MLOps tools) for deploying models at scale.
• Excellent communication skills in English (minimum B2 level) and the ability to effectively collaborate with technical and business stakeholders.

Optional

• Experience with multi-agent systems, behavior trees, or reinforcement learning.
• Background in regulated industries (e.g., finance, insurance, healthcare).
• Experience with Databricks or Apache Spark ecosystem.

What we offer

• Salary: 16 000 - 23 000 PLN (B2B contract)
• Co-financing for training and certifications, as well as guaranteed time for learning during working hours
• Private medical care and a Multisport card
• Language classes (English)
• Flexible working hours and the possibility of hybrid work (Warsaw)
• Team integration meetings and company events
• Employee referral program with a bonus
• An individually tailored career development path

Recruitment stages

• Recruitment Interview

DEVAPO SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ

At Devapo, we focus on continuous self-development and acquiring new knowledge. If you are a fast learner, want to participate in international projects, are a team player, and can work independently — join us!

We provide our clients with more than just code — we want to equip them with tools that allow their businesses to flourish. Our clients’ success is our success, which is why we ensure that everyone who creates Devapo has a long-term goal in mind.

This is how we work