Senior AI Engineer

Description

The company is building its own Marketing AI product, which suggests products, bundles and promotions to each customer based on their profile, purchase history and behavioural data.

The aim is more relevant suggestions, higher conversion and better profit margins.

The company is looking for a Senior AI Engineer who has already built and shipped recommendation, ranking and personalization systems.

You will build real-time recommendation engines, ranking and personalization algorithms, promotion models and customer segmentation, shaping personalized experiences across web, app and in-store.

The company is a technology firm headquartered in Cluj-Napoca, with an office in Oradea, and has 20 years of experience. It works with major brands in retail, manufacturing, finance and banking, supporting clients from requirements and ideation through software development and managed services. It has more than 1,200 IT professionals.

Responsibilities

• Build product and bundle recommendation engines, including dynamic slot placement tuned for conversion and margin.
• Create promotion algorithms covering personalized coupons and points, behavioural triggers and dynamic bundling.
• Grow the segmentation engine across markets to cover behavioural, demographic, psychographic and lookalike audiences, including wallet push.
• Apply personalization models to web, app and in-store employee touchpoints.
• Own ML pipelines end to end, from feature preparation in BigQuery and Snowflake through to deployment and monitoring.
• Design and evaluate A/B tests that show the business impact of each model.

Requirements

• You have built ranking or recommender systems that are running in production.
• You write strong Python and SQL and have used TensorFlow or PyTorch.
• You understand model evaluation and validation, covering both offline metrics and online performance.
• You have designed and analysed A/B tests and experiments to measure model and business impact.
• You have practical MLOps experience with pipelines, deployment, performance monitoring and CI/CD.
• You have worked with cloud data warehouses, ideally BigQuery and/or Snowflake, and orchestrated pipelines with Airflow.
• You speak fluent English to work in an international team.
• You have deployed and served models in real time or at low latency.
• You have worked on promotion targeting, pricing or uplift modelling, including personalized coupons and product bundling.
• You have built customer segmentation and lookalike models across several markets.
• You know infrastructure as code with Terraform.
• You have used GCP machine learning tools such as Vertex AI.
• You have built personalization solutions for retail or e-commerce.
• Hiring is based on merit, skills and performance, with no discrimination on any personal characteristic.

Conditions

The company works in a hybrid setup.

Hiring is based on merit, skills and performance, with no discrimination on any personal characteristic.

Benefits

• A wellbeing programme covering social, physical and emotional wellbeing, along with work-life fusion.
• Physical wellbeing perks include medical benefits, gym support, personalized fitness options, team events and the Healthy Habits Club.
• Work-life fusion: you can set the balance that suits you, since work and personal life easily blur in IT.
• Emotional wellbeing support, with mental health given the same weight as physical health.
• Social connection through team events and shared interests, as a growing community in a hybrid environment.