MLOps Engineer (Data & AI, Data Operations Team)

MLOps Engineer (Data & AI, Data Operations Team)

Join our Data Operations Team as an ML Ops Engineer and play a key role in building a cutting-edge ML Platform on Google Cloud from the ground up—shaping the future of scalable, automated machine learning across the organization.

What you’ll have to do:

• Managing and optimizing ML workflows in Google Cloud Platform, Cloud Functions, and BigQuery ML; integrating CI/CD pipelines for model training and deployment; monitoring and automating model performance and retraining in Kubernetes-based environments;
• Define and manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform;
• Configuring and tuning a variety of services in order to increase system stability, performance and security;
• Capacity planning and performance tuning for high traffic events such as Black Friday;
• Adding observability and alerting to data pipelines and services;
• Testing new technologies and industry trends and assessing their fitness for our needs;
• Sharing technical expertise and helping data engineers and data scientists implement best practices that maximize performance and security;
• Identifying repetitive issues or tasks and focus on automation and implementation of permanent solutions.

What makes you a good fit:

• Have very good knowledge of Google Cloud Platform, Linux environments, containers and container orchestration solutions (Kubernetes);
• Have experience with at least one programming language (Python, Java, Ruby, PHP, etc), Shell scripting and regular expressions;
• Have solid understanding of best practices around software development, release engineering and CI/CD;
• Have good understanding of networking, operating systems, automation, distributed computing, high availability and load balancing concepts.

What makes you stand out:

• Prior experience in managing modern ML Platforms and Big Data highly-available systems;
• HashiCorp tools - Vault, Consul, Terraform;
• Experience with public cloud platforms - AWS, CGP, Azure, etc.;
• Knowledge of monitoring tools (Prometheus, Grafana, StatsD, ELK stack, LGTM stack, etc);
• Development experience in SQL, proficiency with relational databases and SQL queries;
• Active member of the community.

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.
• New headquarters, where sleek design, natural light, and versatile spaces create an energizing and comfortable environment for hybrid work.