MLOps Engineer, Data & AI

🕒 September 17

🇷🇴 Romania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 23%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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eMAG

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2001

🛍️ eCommerce

🏪 Marketplace

eCommerce • Marketplace

eMAG is the commercial name of S. C. DANTE INTERNATIONAL S. A. , a Romanian company headquartered in Bucharest. eMAG operates as a leading e-commerce platform and online marketplace in Romania and the region, offering a broad range of products and services through its website and mobile apps. The provided text is from eMAG’s careers and privacy pages, highlighting rapid growth, frequent hiring, a focus on innovation and high-performance teams, and detailed data protection and recruitment policies.

📋 Description

• Manage and optimize ML workflows in Google Cloud Platform, Cloud Functions, and BigQuery ML • Integrate CI/CD pipelines for model training and deployment • Monitor and automate model performance and retraining in Kubernetes-based environments • Define and manage cloud infrastructure using Infrastructure as Code tools such as Terraform • Configure and tune services to improve system stability, performance, and security • Perform capacity planning and performance tuning for high-traffic events such as Black Friday • Add observability and alerting to data pipelines and services • Test new technologies and industry trends and assess their suitability • Share technical expertise and help data engineers and data scientists implement performance and security best practices • Identify repetitive issues or tasks and automate permanent solutions • Build a cutting-edge ML Platform on Google Cloud from the ground up

🎯 Requirements

• Very good knowledge of Google Cloud Platform, Linux environments, containers, and Kubernetes • Experience with at least one programming language, such as Python, Java, Ruby, or PHP • Experience with Shell scripting and regular expressions • Solid understanding of software development, release engineering, and CI/CD best practices • Good understanding of networking, operating systems, automation, distributed computing, high availability, and load balancing concepts • Prior experience managing modern ML Platforms and highly available Big Data systems (standout) • Experience with HashiCorp tools including Vault, Consul, and Terraform (standout) • Experience with public cloud platforms such as AWS, GCP, and Azure (standout) • Knowledge of monitoring tools including Prometheus, Grafana, StatsD, ELK stack, and LGTM stack (standout) • Development experience in SQL and proficiency with relational databases and SQL queries (standout) • Active community membership (standout)

🏖️ Benefits

• Medical subscription: Medicover, MedLife or Regina Maria • Flexible budget for meal tickets, holiday tickets, cultural vouchers, private pension, foreign language classes, eMAG, Fashion Days, Therme & Genius, gym memberships, and professional development classes • Discounts from banking, mobile, dental medicine, and wellness partners • Access to the Bookster library • Free credits on the Hilio psycho-emotional health platform • Accelerated learning environment with access to over 100,000 curated online resources and platforms, learning academies, and development programs • New headquarters with an energizing and comfortable environment for hybrid work

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