Staff Machine Learning Engineer in Constanţa

Cloud (advanced) Docker (advanced) Python (advanced) Sagemaker (advanced) Deep Learning (advanced) Machine Learning (advanced) About this RoleAre you an expert Machine Learning (ML) engineer who is ready to set directions for the development of our ML platform to the next level?Would you love to be in charge of defining the architecture and build a modern ML platform for a top media website in the entertainment world with hundreds of millions of users, billions of page views and hundreds of billions of events?As a member of our Data Engineering team, you will also be in charge of optimizing, putting in production and maintaining ML models and pipelines, in collaboration with our data scientists, data engineers, and software engineers.You Will...Play an important role in defining the architecture of our ML infrastructure to help it grow to the next levelProvide appropriate ML tools and infrastructure to datascientists and other ML engineers to ease their workWork closely with various teams, including data scientists and engineers, on the specification of requirements and the design of related solutionsCollaborate with our data scientists and data engineers on the development of ML models and the associated data pipelines.Optimize and deploy ML models prototyped by our data scientists to AWSEnsure that the models are monitored (reporting & alerts) and retrained when needed.You Have...5+ years of documented records of deployment of ML models in a cloud-based, large-scale environmentGood communication and collaboration skills across multiple teamsExperience in collaborating with data scientists or data engineers to deploy and maintain ML models in productionExperience with deep learning (Tensorflow, Pytorch) and classic machine learning (Scikit-learn, xgboost)Experience with SageMakerExperience with PythonExperience with DockerKnowledge in maintaining and troubleshooting the AWS stack (e.g. EMR, IAM, VPC, Lambda, CloudWatch, Athena, Redshift, EC2) or similar one from other major cloud platformsBonus Points...Familiarity with NLP (HugginFace, Spacy)Familiarity with Infrastructure as a code solutions (Terraform)Familiarity with the development of RESTful APIs in JavaFamiliarity with modern monitoring systems (Prometheus, CloudWatch)Familiarity in K8s solutionsFamiliarity with collaborating with data analystsFamiliarity with AirFlowFamiliarity with BigData processing technologies (e.g. Spark, Hive, Flink)Benefits & PerksMacBook Pro and all the gear you need for workFree access to a multitude of popular online courses and books sponsored by our companyAn on-demand budget for education, training, and conferencesCompany stock optionsCompany swag packagesCafeteria Benefit Program (including private medical care, gym membership, shopping/wellness bonus, etc.)VTO (Voluntary Time Off) - a day off every quarter for volunteering non-profitFrequent team bonding eventsFlexible work hours & time-offEmployee Interest and Hobby Groups supported by our companyOpen, energetic and fan-focused, international work environmentAbout FandomFandom is the world's largest fan platform where fans immerse themselves in imagined worlds across entertainment and gaming. Reaching more than 315 million unique visitors per month and hosting more than 250,000 wikis, Fandom.com is the #1 source for in-depth information on pop culture, gaming, TV and film, where fans learn about and celebrate their favorite fandoms.Fandom is an equal opportunity employer. Fandom values diversity, and all employment decisions are made on the basis of job requirements and individual qualifications.