AI Infrastructure Architect @ Experis Polska

1 week ago

Kraków Warsaw, Czech Republic Experis Polska Full time

3–6+ years of hands-on experience building ML/AI systems; minimum 2+ years with modern LLM or vector-search stacks. Proven experience with Azure services: Azure OpenAI, Azure Cognitive Search (or vector store on Azure), Azure Data Factory, Azure Databricks, AKS/ACA, Key Vault, App Config. Practical experience generating and working with vector embeddings and semantic search (index design, similarity search algorithms, ANN libraries). Strong programming skills in Python (preferred), familiarity with ML libraries (transformers, sentence-transformers, scikit-learn, PyTorch/TensorFlow). Experience with prompt engineering and building production-grade prompts, including safety/guardrails and prompt templates. Experience with data engineering: ETL/ELT pipelines, streaming/batch processing, data quality, and metadata management. Knowledge of OCR and image processing (Tesseract, Azure Form Recognizer, OpenCV, or equivalent) for extracting text and features from images and documents. Nice-to-Have: Prior experience with Semantic Kernel, agent frameworks, or multi-agent orchestration. Familiarity with retrieval-augmented generation (RAG) implementations and hybrid search (BM25 + semantic). Location: One weekly visit to either the Kraków or Warsaw office is required during the first three months. Further arrangements to be confirmed. Salary: 190 – 230 PLN net/h (B2B via Experis) Our offer: MultiSport Plus Group insurance Medicover Premium e-learning platform Opis Firmy Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT. Oferujemy rekrutacje menedżerów i wysoko wykwalifikowanych konsultantów z doświadczeniem w branży IT. Experis jest częścią ManpowerGroup i został uznany za jedną z najbardziej etycznych firm na świecie. ,[As an AI Infrastructure Architect, you will be responsible for architecting and building custom Artificial Intelligence infrastructure and hardware solutions. Your day-to-day activities will include:, Optimizing AI infrastructure and hardware performance, power consumption, cost, and scalability of the computational stack., Advising on AI infrastructure technology and vendor evaluation, selection, and full stack integration., Acting as a subject matter expert, collaborating with and managing the team to ensure effective performance., Leading team decisions, engaging with multiple teams, and contributing to key strategic choices., Providing solutions to problems that apply across multiple teams., Designing innovative AI infrastructure solutions tailored to diverse client needs., Conducting thorough evaluations of emerging AI technologies and recommending best practices., Leading cross-functional teams in the implementation of AI infrastructure projects., Monitoring and analyzing the performance of AI systems to ensure optimal operation., Providing training and support to team members on AI infrastructure best practices.] Requirements: AI, ML, Azure, Azure Data Factory, Azure OpenAI, Databricks, AKS, ACA, Vault, Python, scikit-learn, PyTorch, TensorFlow, Data engineering

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