THAT WOULD BE WONDERFUL IF YOU HAVE:
• Advanced degree in Computer Science, Data Science, Engineering, or a related field;
• 5+ years of relevant experience in AI/ML;
• Expertise in machine learning, feature engineering, and software development;
• Experience working in an agile environment producing deliverables in a quick and iterative manner
• Experience with statistical modeling and large-scale data analytics;
• Experience working with & writing clean and efficient code in Python, SQL;
• Experience with LLMs and generative AI;
• Experience with Deep Learning frameworks (Tensorflow, Keras and/or Pytorch);
• Knowledge of Spark or similar big data tools and technology;
• Experience working with structured, unstructured data and table design;
• Deep understanding of system design, data structures, and algorithms;
• Experience with workflow orchestration tools (e.g. Apache Airflow);
• Experience building scalable microservices for delivery of high-volume data on AWS or other cloud platforms;
• Result-driven execution of AI/ML solutions to drive the business forward;
• Fluency in English;
• Outstanding interpersonal and communication skills, the ability to work well in a close-knit team, ego-less coding habits, and a collaborative spirit;
WOULD BE A PLUS:
• Active Kaggle participation;
• Docker;
• Microsoft Azure or AWS;
ADVANTAGES FOR A CANDIDATE:
• Stable and competitive salary;
• Reporting and payment of taxes from private individuals;
• Work in a cool & experienced team;
• Useful & exciting projects;
• Up to 26 Days Off per year at your convenience;
• Convenient office in Vinnytsia or an opportunity to work remotely;
• Monthly team activities;
• Corporate culture with maximum automation of processes;
• Review of working conditions and position based on performance, productivity and development in accordance with a skills assessment program
• Excellent opportunities and prospects for professional growth in a company with a 6-year history.
WHAT YOU’LL DO
• Work on challenging AI/ML projects like NLP, computer vision, recommender systems, advanced statistical prediction models, and other AI technologies to drive revenue and enhance the personalized shopping experiences of our 50M+ members
• Develop innovative solutions to business problems leveraging both classic and cutting-edge AI/ML algorithms/frameworks
• Build end-to-end large-scale batch and real-time data pipelines and scalable architectures and services to efficiently handle large amounts of data
• Work with a state-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake, Airflow, AWS Ecosystem) that operates in the cloud to empower predictive modeling services for both internal and external customers
• Productionize scalable and distributed data science solutions in cloud-based ecosystems and be responsible for day-to-day production support
• You will be involved in the design and implementation of applications and tools based on AI (including GenAI) that will revolutionize the way that our software interacts with users while maintaining a responsible approach to the use of these technologies
• Identify opportunities for data science to increase the organization’s efficiency and lift our core business
• Gain exposure to a wide range of business stakeholders and departments ranging from Marketing, Merchandising, Planning, and the Executive Leadership team
• Work in multi-functional agile teams to continuously experiment, iterate, and deliver on data-driven product objectives
• Work closely with fellow engineers from other teams to design and develop cross-team data exchange microservices, effectively communicating your needs and understanding their needs as well
OFFICE
Our company is constantly developing and creating new, modern and comfortable conditions for work in the office.
This is why it is convenient to work with us: a powerful 100 kW generator; uninterrupted Internet 24/7; equipped shelter, with the possibility of working from it; kitchen with free various goodies; recreation areas, including a second-level recreation area, a smoking balcony and a sports room; parking and access to infrastructure; stationary workplace with everything necessary etc.