Key Responsibilities:

• 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.

Requirements:

• 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.

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;
• Total rewards – competitive base salary, annual bonus, private health insurance, 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.