AI Engineer

Accesa; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Accesa ищет ML-инженера для разработки и развёртывания рекомендательных систем в реальном времени в США. Необходимо владение Python, SQL, TensorFlow/PyTorch, опыт работы с MLOps и облачными хранилищами. Работа в международной команде требует владения английским языком.

Будет отвечать за развитие сегментации, персонализации и A/B тестирование, сотрудничество с командами data engineering и product. Возможности роста и конкурентный пакет компенсации.

Qualifications

• Опыт разработки и внедрения рекомендательных систем в продакшене (production).
• Сильные навыки Python и SQL, опыт TensorFlow или PyTorch.
• Понимание оценки моделей: оффлайн и онлайн метрики.
• Опыт проектирования и анализа A/B тестов и експериментов.
• Практический MLOps: пайплайны, развёртывание и мониторинг, CI/CD.
• Опыт работы с хранилищами данных в облаке (BigQuery/Snowflake) и Airflow.
• Свободное владение английским языком на уровне работы в международной команде.
• Опыт развёртывания моделей в реальном времени или с низкой задержкой.
• Опыт персонализации, таргетинга и uplift-моделирования.
• Опыт построения сегментации клиентов и lookalike моделей по нескольким рынкам.
• Знакомство с Terraform.
• Опыт работы с Vertex AI.
• Опыт персонализации в ритейле / электронной торговле.

Responsibilities

• Разработка рекомендательных систем в реальном времени и персонализации.
• Проектирование алгоритмов целевых промо-акций и персонализации купонов.
• Расширение сегментирования пользователей по регионам и рынкам.
• Применение персонализации на веб, в мобильном приложении и точках продаж.
• Управление конвейерами ML от подготовки признаков до развёртывания и мониторинга.
• Измерение бизнес-эффекта через A/B тесты и аналитику результатов.

Skills

Рекомендательные системы

Python

SQL

TensorFlow/PyTorch

A/B тестирование

MLOps

BigQuery/Snowflake

Airflow

Английский

Низкая задержка

Персонализация/таргетинг

Lookalike/segmentation

Terraform

Vertex AI

Tools

BigQuery

Snowflake

Airflow

Terraform

Vertex AI

Job description

Описание

Accesa is a leading technology company headquartered in Cluj-Napoca, with offices in Oradea and 20 years of experience in turning business challenges into opportunities and growth. A value-driven organisation, it has established itself as a partner of choice for major brands in Retail, Manufacturing, Finance, and Banking. It covers the complete digital evolution journey of its customers, from ideation and requirements setup to software development and managed services solutions. With more than 1,200 IT professionals, Accesa also has a fast-growing footprint, establishing itself as an employer of choice for IT professionals who are passionate about problem-solving through technology. Coming together in strong tech teams with a customer-centric approach, they enable businesses to grow, delivering value for our clients, partners, industry, and community.

Задачи

• Develop real-time recommendation engines: Build product and bundle recommendation engines, including dynamic slot placement optimized for conversion and margin.
• Build targeted promotion algorithms: Develop personalized coupon and points issuance, behavioural triggers, and dynamic bundling.
• Scale customer segmentation across markets: Expand the segmentation engine to support behavioural, demographic, psychographic, and lookalike audiences, including wallet push.
• Extend personalization across touchpoints: Apply personalization models across web, app, and in-store employee touchpoints.
• Own end-to-end ML pipelines: Build and operate pipelines from feature preparation in BigQuery and Snowflake through deployment and monitoring.
• Measure business impact through experimentation: Design and evaluate A/B tests to demonstrate the business impact of each model.

Требования

• Hands‑on experience building ranking or recommender systems that run in production.
• Strong Python and SQL skills, with experience using TensorFlow or PyTorch.
• Solid understanding of model evaluation and validation, including offline metrics and online performance.
• Experience designing and analysing A/B tests and experiments to measure model and business impact.
• Practical MLOps experience, including ML pipelines, model deployment, performance monitoring and CI/CD.
• Experience with cloud data warehouses, ideally BigQuery and/or Snowflake, and pipeline orchestration with Airflow.
• Fluent English for working in an international team.
• Experience deploying and serving models in real time or with low latency.
• Experience with promotion targeting, pricing or uplift modelling, including personalised coupons and product bundling.
• Experience building customer segmentation and lookalike models across multiple markets.
• Familiarity with infrastructure as code using Terraform.
• Experience with GCP machine learning tools such as Vertex AI.
• Experience building personalization solutions for retail or e‑commerce.

As a people‑first organisation, we believe diversity strengthens our teams and drives innovation. All employment decisions are based on merit, skills and performance, without discriminating based on any personal characteristic. This reinforces our commitment to providing an inclusive and respectful workplace.

Additional Information

At Accesa you can enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work‑life fusion.

Physical Wellbeing

Our wellbeing program includes medical benefits, gym support and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club.

Work‑Life Fusion

In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one‑size‑fits‑one approach gives us the flexibility to define the work‑life dynamic that works for us.

Emotional Wellbeing

We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work‑life balance.

Social Wellbeing

As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.