Circle K

Platform Architect - AI

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SeniorHybryda·WarszawaFull-time

#444908·Dodano miesiąc temu·4

Źródło: Circle K

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Tech Stack / Keywords

Python PyTorch TensorFlowHugging FaceAWS Kubeflow MLflowSageMakerPineconeYOLO

Firma i stanowisko

CK Circle K Stores Inc. is recruiting for a Platform Architect specializing in AI to design and implement AI-driven solutions. The company operates in Poland, with a support office in Warszawa BC. The role involves working on projects such as visual similarity search for store display compliance in a retail context.

Wymagania

5+ years experience in software architecture with 2-3 years focused on AI/ML systems
Strong understanding of machine learning fundamentals, deep learning, and modern NLP/LLM architectures
Hands-on experience with cloud platforms such as AWS, Azure, or GCP and their AI/ML services
Experience with MLOps tools like MLflow, Kubeflow, SageMaker and CI/CD for ML pipelines
Proficiency in Python and familiarity with ML frameworks including PyTorch, TensorFlow, and Hugging Face
Experience with vector databases, retrieval-augmented generation (RAG) pipelines, and agentic AI frameworks
Strong grasp of data architecture, APIs, and system integration patterns
Excellent communication skills to explain technical concepts to non-technical stakeholders
Experience leading or mentoring technical teams

Additional project-specific requirements:

Hands-on experience with production computer vision pipelines including object detection, embedding models, vector/hybrid search
Familiarity with DETR/YOLO-family models, Roboflow or comparable data management/training tools, and vector databases like Pinecone
Ability to evaluate cost trade-offs between self-hosted GPU and managed/SaaS inference
Understanding of open-source model licensing constraints (AGPL, Apache, MIT) and business implications
Experience designing multi-signal retrieval and ranking systems
Working knowledge of AWS ML/GPU services such as SageMaker, EC2 GPU, Bedrock
Capability to make architectural decisions balancing technical excellence, cost, and time

Nice to have:

Prior experience in retail related to product recognition, planograms, or store display compliance

Obowiązki

Design end-to-end architecture for AI/ML systems from proof of concept to production
Select appropriate technologies, frameworks, and models
Oversee integration of AI solutions with existing systems and data infrastructure
Evaluate build vs. buy decisions for AI capabilities including cost modeling and vendor lock-in risk
Ensure solutions are scalable, secure, cost-efficient, and compliant with regulations such as GDPR and EU AI Act
Guide MLOps/LLMOps practices including retraining triggers, drift monitoring, versioning, and rollback
Mentor AI Engineers on AI architecture patterns and emerging best practices
Stay current with AI landscape including foundation models, vector databases, agentic frameworks, RAG, and fine-tuning
Create and maintain technical documentation, architecture diagrams, and decision records
Act as technical liaison to AI Security for design decisions, access control, encryption, and safeguards against attacks

Project-specific requirements (visual similarity search):

Design and maintain pipeline architecture involving product detection, parallel analysis (visual embedding, OCR, category classification), hybrid query to vector database, and matching against planogram
Decide on specific models and components (e.g. RF-DETR, DINOv2) considering accuracy, cost, licensing, and delivery time
Design category-specific query strategies
Make hosting and cost decisions between self-hosted GPU infrastructure (AWS) and managed services (Roboflow, Pinecone)
Define API contracts between AI pipeline and system including handling low-confidence matches
Set measurable quality thresholds jointly with Product Owner
Verify license compliance of components such as YOLO-family models
Provide architectural oversight of AI/ML Engineers' work
Plan improvement loop for feedback of approved image crops into index
Engage AI Security team early for reviewing data flows, encryption, access control, data retention policies, and compliance with GDPR

Benefity

Contract of employment
Annual bonus
Private medical care
Cafeteria platform/Multisport
Subsidized English lessons
Group insurance
Two additional days off with option to exchange for other holidays
Employee referral bonus program
Discounts on products and services at company stations
Employee stock purchase plan
Employee Assistance Program (Lyra)
Trainings and skill development opportunities
Modern and convenient office location

Premie

Opieka zdrowotna

Karta sportowa

Kursy językowe

Ubezpieczenie

Płatny urlop

Udziały pracownicze

Inne informacje

Candidates will not be judged on grounds such as race, national origin, gender, sexual orientation, disability, or age. An Internal Notification and Follow-up Actions Procedure regarding whistleblower reporting applies at Circle K Business Centre Poland sp. z o.o.

Circle K

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