Machine Learning Engineer (Data & AI, Data Science Vipers Team)
TLDR
Develop, deploy, and monitor ML/AI models across key business areas, collaborating across teams while deploying on both cloud and on‑prem environments using GCP, Kubernetes, and PySpark.
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!
Machine Learning Engineer (Data & AI, Data Science Vipers Team)
The Data Science Team is responsible for the development, deployment, and monitoring of ML/AI models that impact different business areas, such as: Marketplace, Operations, and Commercial.
What you’ll have to do:
- Formulate and argument a hypothesis, to access, clean and aggregate data, train and interpret models, present the result, get feedback, deploy model in production and monitor performance on a daily and weekly basis.
- This implies collaboration with the team members involved in the process, others machine learning engineers, team lead, product owner, analysts, clients, and data teams.
- Develop and deploy solutions on-premises and on-cloud depending on the project and the status.
- Work in an environment where the adoption of GCP is mandatory for development and production.
- Use Kubernetes cluster with GPU's included, running Docker containers on each task, writing Python and PySpark with internal standards for coding.
What makes you a good fit:
- Appropriate skills for data wrangling with SQL and PySpark.
- Experience working with structured and unstructured data.
- Good understanding of ML/AI techniques, such as boosting and transformers.
- Strong mathematical and statistical background about mentioned techniques.
- Ability to efficiently write Python code for development and production.
- Experience using a versioning control system (GitLab).
- Familiarity with MLOps tools like Kubernetes, Docker, Kubeflow pipelines, will make your work and ours a lot easier.
What we’ve prepared for you:
- Medical subscription: Medicover 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.
- New headquarters, where sleek design, natural light, and versatile spaces create an energizing and comfortable environment for hybrid work.
#LI-hybrid
#midsenior
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! Also, here you can find our confidentiality policy if you want to consult it.
Benefits
Health Insurance
Medical subscription: Medicover or Regina Maria.
Learning Budget
An accelerated learning environment, with access to over 100.000 curated online resources and platforms, learning academies and development programs.
Partner discounts
Different discounts from our partners: banking, mobile, dental medicine or wellness.
Remote-Friendly
New headquarters, where sleek design, natural light, and versatile spaces create an energizing and comfortable environment for hybrid work.
Wellness Stipend
Access to the Bookster library and free credits on the Hilio psycho-emotional health platform.
eMAG is an ambitious e-commerce platform that focuses on delivering a wide range of products to customers while fostering a culture of continuous learning and growth among its over 6000 employees. By investing in people and creating an environment that encourages professional development, eMAG positions itself as a leader in the rapidly evolving online retail space.