Middle ML Engineer | Computer Vision (AI Customer Support and Safety)

Department: AI Cluster

Location: KazakhstanDescriptionOur AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers.

Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer, who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential.Key ResponsibilitiesDevelop, deploy, and maintain machine learning models and systemsConduct in-depth data analysis, preparation, and processingContribute to the design of ML systems, focusing on data-related aspects like annotation and processingFollow established security guidelines and identify potential risksCollaborate with peers to review and ensure designs are effective, flexible, and reusableSolve issues and provide feedback for engineering design and delivery processesEnsure that features are deployed according to requirements and operate without unintended side effectsCreate and maintain comprehensive documentation for models and processesMonitor and support deployed solutions to ensure they meet performance expectationsActively seek out information and internal solutions to ensure reusability and adoption of common technologiesOur expectations3+ years of experience in the Field. Previous software engineering experience is preferrableStrong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data).Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics.Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle.Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes.The ability to design solutions using common design patterns and various design tools.Experience in experiment design and the ability to validate the credibility of information from various sources.A solid understanding of the business value of delivered features.Strong problem-solving skills, with an emphasis on using technical facts and reasoning.Excellent communication and collaboration skills, including active listening and the ability to build consensus.A strong drive for continuous self-development and a collaborative mindset for contributing to communities.Ability to balance quality and speed depending on the case, and justify your decisionAbility to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managersEnglish communication skillsWhy join usHelp us challenge injustice by creating fair choices for millions of people across 47 countries.Develop your professional skills with access to mentoring, career consulting, and learning programs.Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.Work alongside people who take initiative, speak openly, and challenge themselves to grow.Improve your language skills through co-financed courses and internal speaking clubs.Final benefits may vary depending on the location.