Machine Learning Engineer

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, Machine Learning Team)*
As a Machine Learning Engineer within the Data&AI department, you will be at the forefront of developing and refining machine learning models that drive key aspects of our business. You will collaborate closely with cross-functional teams, including Product and Engineering teams, to deliver impactful solutions across various domains, from personalized product recommendations and ad relevance to pricing optimization, sales forecasting, or inventory management. Your role will involve both research and hands-on model development, ensuring our algorithms remain innovative and scalable in a fast-paced environment.

What you'll have to do:

• Develop cutting-edge techniques for fields like search, personalization, advertising, forecasting, optimization, and agent-based automation.
• Dive deep into massive datasets, uncovering hidden patterns and insights through exploratory analysis and advanced analytical techniques.
• Design and build machine learning models using state-of-the-art techniques, adapting them for real-world production environments and optimizing for business needs and engineering constraints.
• Write high-quality production code for training and inference, ensuring seamless data validation, efficient logging, reliable exception handling, and smooth orchestration for optimal performance.

What makes you a good fit:

• Have a degree in a related discipline (Mathematics, Statistics, Data Science, Computer Science).
• Have hands-on experience with TensorFlow or PyTorch.
• Are proficient in SQL and have a solid understanding of relational databases.
• Have a passion for diving into large datasets, asking the right questions, and uncovering insights.
• Have strong problem-solving skills, especially when it comes to complex technical challenges.
• Can clearly communicate technical concepts and translate them into business-focused insights for both technical and management audiences.
• Have expertise in areas like Anomaly Detection, Time Series Analysis, Unsupervised Learning, Probabilistic Graphical Models, Recommender Systems, and Semantic Search.
• Have a strong collaborative mindset, working seamlessly with interdisciplinary teams to tackle tough problems.
• Have a solid grasp of big data architecture and application design.

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 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.

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.