Middle Data Science Engineer

Tech Level:Middle

Language Proficiency: Upper-Intermediate

FTE: 1

Employment type: Full time

Candidate Location:Poland - preferred Europe - possible

Working Time Zone:CET

Start: ASAP

Planned Work Duration: 6 months

Customer Description:

A global mobility and urban services platform that enables users to book rides and services while negotiating fares directly with service providers. The platform offers ride-hailing intercity travel delivery and task assistance operating across multiple cities in many countries.

Project Description: Incidents detection image/audio analysis.

Project Phase: new phase of the project

Soft Skills:

Proactive mindset with strong initiative and ability to independently identify stakeholders and execution paths

Stakeholder management across technical and product teams

Curiosity and continuous improvement orientation

Strong communication skills for cross-functional collaboration

Effective time management and organizational reliability

Hard Skills / Must Have:

3 years of experience in the field with prior software engineering background

Strong proficiency in Python and data processing frameworks for streaming batch and asynchronous systems

Solid foundation in classical Machine Learning deep learning and advanced mathematics

Experience with MLOps tools and ML lifecycle management

Backend systems and infrastructure experience with willingness to learn additional languages such as Golang

Ability to design systems using standard design patterns and architectural tools

Experience in experiment design and validation of data and results credibility

Understanding of business value delivery in technical solutions

Strong problem-solving skills with analytical reasoning

Excellent communication and collaboration abilities with stakeholder alignment skills

Commitment to continuous self-development and knowledge sharing

Russian language is a must.

Responsibilities and Tasks:

Develop deploy and maintain Machine Learning models and systems

Perform data analysis preparation and processing for ML workflows

Contribute to ML system design including data annotation and processing pipelines

Follow security guidelines and identify potential risks in solutions

Collaborate on design reviews to ensure robustness and reusability

Support engineering delivery processes and resolve issues

Ensure correct deployment and stable operation of features

Create and maintain documentation for ML models and processes

Monitor deployed solutions and ensure performance standards are met

Promote reuse of internal technologies and solutions

Technology Stack: Python for streaming batch and asynchronous data MLOps tools


Ready to Join
We look forward to receiving your application and welcoming you to our team!