AI Engineer (Data & AI, Data Science Team)

We’re always looking for the ones truly passionate about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We’ve grown very fast and are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results.

More than 6000 colleagues are part of eMAG Teams . We strongly believe in people's development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to ensure that you’ll have the most talented colleagues and the proper environment to grow and achieve great results, to become what you desire on a personal and professional level. Join us, grow faster !

AI Engineer (Data & AI, Data Science Team)

The team in question is responsible for the development, deployment and monitoring of DS/ML/AI pipelines that impact Content Automation Systems, ensuring speed, consistency and quality on product documentation lifecycle.

Our role is to provide challenging and suitable projects for building automated decision-making systems, data to extract valuable information, models and APIs to ingest, infrastructure and technologies for processing, and to create a safe environment for learning and development. We develop and deploy on-premises and/or on-cloud. We provide access to Kubernetes cluster with GPU's included, running Docker containers on each task, writing Python and/or PySpark with internal standards for coding using Kubeflow and VSCode.

What You’ll Have To Do

• As an AI Engineer in our team, your role is to develop AI-driven agents and workflow automation using cutting-edge techniques and frameworks, integrate AI models with APIs to enable seamless interactions between agents and external systems, develop monitoring and evaluation frameworks to assess performance and optimize workflows, implement data pipelines and storage solutions to support agent decision-making and knowledge retrieval. This implies collaboration with the team members involved in the process, machine learning engineers, software engineers, product owners, analysts, clients and data teams. It is part of our values to help other team members or other teams in the process. It is a non-negotiable value for us. Proposing new technologies and new ways of working can lead to a better working place for all.
  
  

What Makes You a Good Fit

• In order for you to adapt and perform to the role, you need to have appropriate skills for data wrangling with SQL, Python and/or PySPark, for structured and unstructured data, good understanding of databases and data lake environments – storage, processing, scalability-, good understanding of deep learning models and be able to efficiently write code for development and production using versioning control system (Git).
• Familiarity with MLOps tools like Kubernetes, Docker, Kubeflow, Airflow, SageMaker, VertexAI will make your work and ours a lot easier.
  
  

What We’ve Prepared For You

• Medical subscription: Medicover, MedLife or Regina Maria.
• A flexible budget that you can invest in yourself as you wish: meal tickets, holiday tickets, cultural vouchers, private pension, foreign language classes, eMAG, Fashion Days, Therme & Genius, membership to different gyms or even professional development classes.
• Different discounts from our partners: banking, mobile, dental medicine or wellness.
• Access to the Bookster library and free credits on the Hilio psycho-emotional health platform.
• An accelerated learning environment, with access to over 100.000 curated online resources and platforms, learning academies and development programs.
• A friendly office. We redesigned our headquarter office to suit our hybrid work model: we doubled the number of meeting rooms and we equipped them with state-of-the-art technology.
  
  

Curious to find out more about the next step in your career? Apply now and if your experience is relevant for the role you wish, we will give you a call for more details!