ml engineer data platforms

Enfint; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Private medical care

Life insurance

Travel across Europe

Professional development

Coaching sessions

Job summary

Accenture ищет специалистов по данным в Польше для проектирования и внедрения современных продуктов на базе Databricks, включая GenAI и агентных решений. Ваша роль — строить конвейеры данных, поддерживать модели и интегрировать разнообразные источники данных в единое аналитическое окружение.

Требуется опыт работы с Databricks, MLflow и PySpark, а также навыки в DevOps/DataOps. Ожидается минимальная командная работа и готовность к командировкам по Европе.

Qualifications

• Минимум 2 года опыта работы с аналитическими решениями и данными; умение проектировать и внедрять продвинутые аналитические и ML-решения.
• Опыт работы с Databricks в Generative AI/Agentic AI, построение масштабируемых AI/ML решений (RAG, инструменты агентов).
• Практический опыт вывода AI/ML решений на Databricks Lakehouse AI или Databricks ML в продакшн.
• Навыки Databricks MLOps: MLflow, Git, CI/CD, тесты рабочих процессов.

Responsibilities

• Разработка и внедрение масштабируемых конвейеров данных на Databricks для пакетной и потоковой обработки; Delta Live Tables
• Моделирование данных с использованием Lakehouse и Medallion архитектуры Bronze/Silver/Gold
• Построение преобразований на PySpark, Spark SQL, Delta Lake
• Интеграция источников данных в единый набор аналитических данных
• Сотрудничество с архитекторами, аналитиками и Data Scientist по выпуску продуктивных решений
• Implement DevOps/DataOps: Git, CI/CD, тесты рабочих процессов

Skills

Databricks

MLOps

Python

GenAI

Data pipelines

English

Tools

Delta Lake

MLflow

LangChain

Databricks ML

Job description

Описание: Accenture’s Databricks Community of Practice in Poland designs and builds modern data products, advanced GenAI solutions, and agentic solutions powered by Databricks. The Intelligent Consulting Hub brings together multinational professionals across Europe to help clients create measurable business value through technology and human ingenuity.

Задачи:

• Design and implement scalable end-to-end data pipelines using Databricks for batch and streaming workloads, including Delta Live Tables
• Develop and maintain data models using Lakehouse and Medallion architecture with Bronze, Silver, and Gold layers
• Build robust data transformations using PySpark, Spark SQL, and Delta Lake
• Integrate diverse cloud and enterprise data sources into unified, high-quality, analytics-ready datasets
• Collaborate with architects, analysts, and data scientists to deliver production-grade data products
• Implement DevOps and DataOps practices, including Git-based version control, CI/CD pipelines, and data workflow testing

Требования:

• At least 2 years of experience applying data-driven approaches to business scenarios, including designing, deploying, and operating advanced analytics and machine learning solutions
• At least 1 year of experience working with Databricks in Generative AI and/or Agentic AI, building scalable AI/ML solutions such as RAG, tool-using agents, evaluation, and monitoring
• Hands‑on experience delivering AI/ML and GenAI solutions on Databricks Lakehouse AI or Databricks ML in production
• Practical Databricks MLOps skills with MLflow tracking and Model Registry, MLflow Tracing, Workflows or Jobs, Repos, and Asset Bundles
• Familiarity with Databricks GenAI capabilities including Mosaic AI Vector Search, Agent Framework, AI Gateway, and AI/BI Genie aligned with Unity Catalog
• Experience with Python-based AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or Hugging Face Transformers
• Experience delivering analytical projects on Azure, AWS, or GCP, ideally with Databricks as the execution layer
• Solid understanding of machine learning and data science techniques including clustering, regression, classification, forecasting, neural networks, and hyperparameter optimization
• Understanding of NLP, LLMs, retrieval concepts, and evaluation of GenAI systems
• Ability to translate complex business requirements into robust, data-driven solutions and production-ready architecture
• Strong appetite for continuous learning and skill development in emerging AI technologies
• Professional working proficiency in English
• Willingness and ability to work at client locations mostly across Europe and beyond, for short or long term
• Nice to have: Experience with Azure OpenAI, AWS Bedrock, or Vertex AI used alongside Databricks for GenAI workloads

Условия:

• Employment contract (umowa o pracę)
• Headquarters in Warsaw
• Individual support from a People Lead, a professional development path, and the possibility of a coaching session
• Wide training package, access to e-learning platforms, Gallup test, GenAI training, course co-financing, and certification
• Employee Assistance Program with legal, financial, and psychological consultations
• Employee share purchase plan with eligibility for quarterly dividends when owning company shares
• Paid employee referral program
• Private medical care and life insurance
• Access to the WorkSmile benefits platform, including the Multisport card
• Traveling to client locations mostly across Europe and beyond for short or long term is required
• The role may include remote work, onsite work at a client, or work in an Accenture office depending on project circumstances
• In‑person time for collaboration, learning, and building relationships with clients, peers, leaders, and communities is required