ML Engineer

Job Description Roles & Responsibilities We are a team of Machine Learning Engineers focused on turning ideas and prototypes into reliable, production-ready systems. We own the end-to-end lifecycle of ML solutions from integration with existing services to deployment, monitoring, and continuous improvement ensuring our models deliver stable, measurable value in real-world conditions Build and deploy machine learning solutions from end to end, contributing to the full ML delivery cycle Conduct data analysis, annotation, and processing as a key part of the ML system design Design solutions using common patterns and tools, and propose alternative approaches when needed Ensure solutions meet design standards and are reusable, flexible, and extensible through peer reviews Deploy features and ensure they work as intended while preventing unintended side effects Document technical solutions and ensure all necessary monitoring and support tools are in place Solve issues in the engineering design and delivery process and ensure the solution meets key performance indicators and non-functional requirements Collaborate with team members, contribute to a community of practice, and promote the reuse of common approaches and technologies Proficiency in Python and its frameworks for streaming, batch, and asynchronous data processing Solid experience with classic machine learning techniques and algorithms Experience using MLOps tools and practices to manage the ML model lifecycle Familiarity with technologies like Golang for backend system and infrastructure integration Ability to conduct thorough data analysis and preparation Strong problem-solving skills with a focus on engineering principles and data-driven reasoning Excellent communication and collaboration skills, with an ability to seek and validate information from various sources A solid understanding of business value and how it connects to delivering features A proactive approach to self-development and learning new skills and best practices Desired Candidate Profile Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 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. Company Industry InternetE-commerceDotcom Department / Functional Area IT Software Keywords ML Engineer Get real-time job updates only on our App