Research Scientist, Kaggle
Google (10000+ pracowników)
Programowanie Frontend
Programowanie Backend
Poland
Pełny etat
Law
Doctoral degree
Java
Master's degree
C++
JavaScript
Natural language processing
AI
Python
Mobile devices
Google (10000+ pracowników)
Stermedia
General
20,000 - 30,000 PLN / miesiąc
You’ll be working on diverse machine learning projects for local and international companies as well as in academic research. This will involve different phases of the end-to-end delivery – direct contact with the client, business analysis of the problem, coming up with an appropriate solution, implementation and moving it to the production environment.
● Design and develop end-to-end agentic AI solutions using modern LLM frameworks
● Build and deploy Generative AI applications using Python
● Develop and manage AI agents, including tool integrations, memory management, and reasoning workflows
● Implement agent orchestration for multi-agent systems and complex task automation
● Apply advanced prompt engineering techniques to optimize model performance
● Establish agent observability frameworks (monitoring, tracing, logging, evaluation, guardrails)
● Deploy AI solutions using container-based architectures (Docker, Kubernetes)
● Ensure scalability, reliability, and security of AI systems in production
● Integrate AI agents with enterprise APIs, databases, and external systems
● Continuously evaluate model performance and implement optimization strategies
● Strong proficiency in Python programming
● Hands-on experience with Generative AI / LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, etc.)
● Experience building end-to-end agentic solutions
● Practical experience in agent development and orchestration
● Expertise in prompt engineering and LLM optimization
● Experience with container-based deployments (Docker, Kubernetes)
● Experience implementing agent observability (monitoring, tracing, evaluation frameworks)
● Knowledge of REST APIs and backend integration patterns
● Experience deploying AI applications in cloud environments (AWS / Azure / GCP)
● Understanding of RAG architectures, embeddings, vector databases
● Experience with multi-agent collaboration frameworks
● Experience with evaluation tools (e.g., prompt testing, hallucination detection, guardrails)
● Knowledge of distributed systems design
● Experience with real-time AI applications
● Background in machine learning fundamentals
● Communicative English – minimum C1 level
Experience with DevOps / MLOps tools and practices (e.g. Docker, Kubernetes, MLFlow, KubeFlow, DVC)
Familiarity with a deep learning framework (Tensorflow, PyTorch)
Experience in using additional data science related libraries (e.g. nltk, opencv, scikit-image, gensim, plotly, seaborn, xgboost, lightgbm)
Strong general software development skills and knowledge of best practices
Knowledge of a cloud platform and experience in running cloud-based projects (GCP, AWS, Azure)
Working with the newest machine learning technologies
Possibility to contribute to a variety of interesting projects
Personal branding (articles, conference speaker, internal workshop leader)
Chillout room / free beverages / team & company events
Ecolab
Wynagrodzenie nieokreślone
Ecolab
Wynagrodzenie nieokreślone
Sportradar Group AG
Wynagrodzenie nieokreślone
Aristocrat (501+ pracowników)
13,246 - 24,600 PLN / miesiąc
Software Mansion
27,000 - 35,000 PLN / miesiąc