Why this role exists
Kesko Senukai is the Baltic leader in omnichannel DIY, home-improvement and electronics retail. We serve millions of customers through six e-commerce brands and 90+ stores and move 155 000+ SKUs through one of the region’s largest logistics networks.
Data and Generative AI are the next accelerators of that growth, powering everything from real-time demand forecasting to multilingual product-content generation.
To make this happen, we’re adding an AI Engineer who can turn cutting-edge models into production-grade services.
Your responsibilities will include
Design, train and deploy predictive & generative models for: dynamic pricing & demand forecasting, vector-search product recommendation, multilingual product-content generation (LLM-powered), RAG-based customer-service chat and in-store associate assistants,computer-vision shelf & pallet analytics;
Own the ML & GenAI lifecycle – data ingestion, feature & prompt engineering, experiment tracking, CI/CD, automated retraining/refresh.
Build reliable GenAI pipelines – orchestrate LLMs with LangChain/LlamaIndex, manage embeddings in Pinecone or AlloyDB Vector, and deploy via Vertex AI or Azure OpenAI.
Embed AI into the business – partner with category managers, UX designers and software engineers to ship measurable impact every sprint.
Measure & iterate – design A/B tests, production-metrics dashboards and post-launch model-health monitoring.
Mentor & evangelise – codify best practice, review PRs, lead internal workshops on MLOps and GenAI security/governance.
We are looking for
2+ years professional Python experience; solid grounding in supervised and unsupervised learning; proficient with scikit-learn, PyTorch or TensorFlow.
Practical experience fine-tuning or parameter-efficient-tuning (LoRA/QLoRA) models such as Llama-2/3, Mistral or GPT-3.5/4; strong prompt-engineering for multilingual tasks; hands-on with LangChain/LlamaIndex and vector databases (Pinecone, Milvus, pgvector); knowledge of safety, bias mitigation and RAG patterns.
Proven record of shipping at least one GenAI-powered feature to real users; comfortable managing latency, cost control and alignment monitoring in production.
Experience with Vertex AI, Azure ML or similar; Docker/Kubernetes; MLflow or SageMaker; infrastructure-as-code (Terraform, Ansible); CI/CD (GitHub Actions or equivalent).
Proficient in SQL and Spark/Pandas; built reproducible pipelines orchestrated with Airflow, Prefect or Dagster.
Version control with Git, automated testing, code reviews, clean architecture and thorough documentation.
Ability to translate retail business challenges into data-driven solutions and articulate technical trade-offs to non-technical stakeholders.
Fluent in English
Nice-to-haves
Retail, supply-chain or pricing-optimisation background;
Experience building computer-vision pipelines with YOLOv8 or Detectron;
What we offer
Impact at scale – your models influence €1.2 billion+ in annual revenue and thousands of colleagues.
Modern GenAI stack – GCP (BigQuery, Vertex AI, AlloyDB Vector), Azure OpenAI, Kafka, dbt, Snowflake, Pinecone.
Continuous learning – dedicated budget for conferences, online courses, certifications; monthly AI guild sessions.
Total rewards – competitive base salary, annual bonus, private health insurance, extra vacation days, employee discount across all Kesko Senukai retail brands.
Inclusive culture – we live our values of customer focus, continuous improvement, cooperation and involvement every day.
Salary
3300–5500 €/mon. gross
Before tax deduction. The final offer will depend on the experience and competencies of the selected candidate. Overall remuneration package consists of the salary together with other benefits.
