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!