About this role
ML Engineer
Department: AI Cluster
Employment Type: Full Time
Location: Cyprus
Description
Key Responsibilities
- 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
Skills, Knowledge and Expertise
- 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
Conditions
- Stable salary, official employment
- Health insurance
- Hybrid work mode and flexible schedule
- Relocation package offered for candidates from other regions
- Access to professional counseling services including psychological, financial, and legal support
- Discount club membership
- Diverse internal training programs
- Partially or fully paid additional training courses
- All necessary work equipment
Other facts
About inDrive
inDrive is a global mobility and urban services platform. The inDrive app has been downloaded over 390 million times, and has been the second most downloaded mobility app for the third consecutive year. In addition to ride-hailing, inDrive provides an expanding list of urban services, including intercity transportation and delivery. In 2023, inDrive launched New Ventures, a venture and M&A arm.
inDrive operates in 1065 cities in 48 countries. Driven by its mission of challenging social injustice, the company is committed to having a positive impact on the lives of one billion people by 2030. It pursues this goal both through its core business, which supports local communities via a fair pricing model; and through the work of inVision, its non-profit arm. inVision’s community empowerment programs help to advance education, sports, arts and sciences, gender equality and other vital initiatives.
For more information visit www.inDrive.com
What you'll do
- The ML Engineer will build and deploy machine learning solutions from end to end, contributing to the full ML delivery cycle. They will also conduct data analysis and ensure solutions meet design standards.
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