Senior MLOps Engineer (based in Europe) за кордоном Weare looking for askilled Senior MLOps Engineer inEurope tojoin our team. Our client isaprominent data company atthe forefront ofresponsible marketing. They specialize infacilitating transparent, content-level targeting, and measurement across various platforms. Their focus isonmaintaining suitability standards tominimize digital risk, maximize investment, and uphold social responsibilities inadvertising. AsaSenior MLOps Engineer you will im
Senior MLOps Engineer (based in Europe) за кордоном Weare looking for askilled Senior MLOps Engineer inEurope tojoin our team. Our client isaprominent data company atthe forefront ofresponsible marketing. They specialize infacilitating transparent, content-level targeting, and measurement across various platforms. Their focus isonmaintaining suitability standards tominimize digital risk, maximize investment, and uphold social responsibilities inadvertising. AsaSenior MLOps Engineer you will implement machine learning infrastructure tounderstand what hundreds ofmillions ofvideos are about. What you bring along: Bachelor’s orMaster’s degree inComputer Science orrelated field with 6+years ofprofessional experience; Fluency with Python and SQL (specifically Snowflake/Big Query); Solid knowledge ofDocker, Terraform, and Kubernetes; Proficiency inAWS stack. Experience with GCP isnice tohave; Knowledge ofData Processing (Apache Kafka, Pandas, DBT); Expertise inMachine Learning Operations; Experience with distributed systems and understanding how machine learning models work; English— upper intermediate orhigher. Nice tohave: Triton Inference Server, Weights and Biases, Transformers; Strong foundation indata structures, algorithms, and software design; Experience with thorough testing and code review standards/practices; Strong verbal and written communication skills. This isyour mission: Design and build large-scale applications and systems toacquire, process, and store multi-terabytes ofYouTube, TikTok, Facebook, and other social media data; Implement machine learning infrastructure; Deploy, monitor and maintain scalable data pipelines and machine learning models while ensuring their performance, scalability, and reliability; Stay updated onthe latest trends and advancements inmachine learning operations and related technologies; Evaluate and implement new tools and techniques toenhance the efficiency and effectiveness ofMLOps processes. Your b enefits: Everyone atAvenga issubject toprofessional growth via our mentorship program; The company provides extended training and certification opportunities; Wefoster professional freedom byoffering free-of-charge English and Spanish courses from A1toC2; Avenga cares for its employees, you will befully supported byour HRPartners; Weoffer anattractive Referral bonus program; Atour team, everyone carefully tracks their own work-life balance, for this reason, weprovide 21days per year ofunpaid time offs.