THAT WOULDBE WONDERFULIF YOU HAVE:Advanced degree inComputer Science, Data Science, Engineering, orarelated field;5+years ofrelevant experience inAI/ML;Expertise inmachine learning, feature engineering, and software development;Experience working inanagile environment producing deliverables inaquick and iterative mannerExperience with statistical modeling and large-scale data analytics;Experience working with &writing clean and efficient code inPython, SQL;Experience with Deep Learning framework
THAT WOULDBE WONDERFULIF YOU HAVE:Advanced degree inComputer Science, Data Science, Engineering, orarelated field;5+years ofrelevant experience inAI/ML;Expertise inmachine learning, feature engineering, and software development;Experience working inanagile environment producing deliverables inaquick and iterative mannerExperience with statistical modeling and large-scale data analytics;Experience working with &writing clean and efficient code inPython, SQL;Experience with Deep Learning frameworks (Tensorflow, Keras and/or Pytorch);Knowledge ofSpark orsimilar big data tools and technology;Experience working with structured, unstructured data and table design;Deep understanding ofsystem design, data structures, and algorithms;Experience with workflow orchestration tools (e.g. Apache Airflow);Experience building scalable microservices for delivery ofhigh-volume data onAWS orother cloud platforms;Familiarity with LLMs and generative AI;Result-driven execution ofAI/ML solutions todrive the business forward;Fluency inEnglish;Outstanding interpersonal and communication skills, the ability towork well inaclose-knit team, ego-less coding habits, and acollaborative spirit;Would beaplus: —Active Kaggle participation;—Docker;—Microsoft Azure orAWS;What You’ll Do —Work onchallenging AI/ML projects like NLP, computer vision, recommender systems, advanced statistical prediction models, and otherAI technologies todrive revenue and enhance the personalized shopping experiences ofour 50M+ members—Develop innovative solutions tobusiness problems leveraging both classic and cutting-edge AI/MLalgorithms/frameworks—Build end-to-end large-scale batch and real-time data pipelines and scalable architectures and services toefficiently handle large amounts ofdata—Work with astate-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake, Airflow, AWS Ecosystem) that operates inthe cloud toempower predictive modeling services for both internal and external customers—Productionize scalable and distributed data science solutions incloud-based ecosystems and beresponsible for day-to-day production support—You will beinvolved inthe design and implementation ofapplications and tools based onAI (including GenAI) that will revolutionize the way that our software interacts with users while maintaining aresponsible approach tothe use ofthese technologies—Identify opportunities for data science toincrease the organization’s efficiency and lift our core business—Gain exposure toawide range ofbusiness stakeholders and departments ranging from Marketing, Merchandising, Planning, and the Executive Leadership team—Work inmulti-functional agile teams tocontinuously experiment, iterate, and deliver ondata-driven product objectives—Work closely with fellow engineers from other teams todesign and develop cross-team data exchange microservices, effectively communicating your needs and understanding their needs aswellADVANTAGES FOR ACANDIDATE:Stable and competitive salary;Reporting and payment oftaxes from private individuals;Work inacool &experienced team;Useful &exciting projects;Upto26Days Off per year atyour convenience;Convenient office inVinnytsia oranopportunity towork remotely;Monthly team activities;Corporate culture with maximum automation ofprocesses;Review ofworking conditions and position based onperformance, productivity and development inaccordance with askills assessment programExcellent opportunities and prospects for professional growth inacompany with a7-year history.