ML Engineer
inDrive
Software Engineering, Data Science
Poland
Posted on May 26, 2026
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.
- Department
- AI Cluster
- Employment Type
- Full Time
- Location
- Kazakhstan
- Address
- Almaty, Almaty Special District
- Workplace type
- Hybrid
Key Responsibilities
- Take ownership of the end-to-end machine learning delivery cycle, including building, testing, deploying, and supporting solution components
- Lead the design of complex ML systems from scratch, considering architectural aspects, user needs, and non-functional requirements
- Transform business goals into data science problems and define relevant proxy metrics and non-functional requirements
- Discover and verify business scenarios that can be solved with technical tools and solutions, contributing significantly to the experiment design process
- Manage issues from root cause to resolution, providing feedback to improve engineering design and prevent future issues
- Create and maintain DS-powered services in a production environment, collaborating with other teams and contributing to the backend systems and infrastructure
- Drive automation and track performance and efficiency metrics
- Mentor and onboard junior team members, supporting a culture of continuous learning and best practices
- Communicate complex technical messages clearly and concisely to diverse audiences
- Proactively identify and report potential security, risk, and control issues
- Drive continuous improvement and innovation that leads to business impact
Skills, Knowledge and Expertise
- Comprehensive experience autonomously implementing and leading ML projects, with a proven track record of successes and lessons learned
- Expert-level proficiency in classic machine learning, deep learning, and advanced mathematics
- Strong practical knowledge of MLOps instruments for managing the ML model lifecycle
- Solid software system design skills to contribute to overall architecture, and the ability to design ML systems from scratch
- In-depth experience with event systems and deployment environments, and the ability to maintain services in production
- Proficiency in Python and its frameworks for streaming, batch, and async data processing
- Common knowledge of technologies for backend integration (e.g., Golang)
- A strong grasp of concepts like Concept Drift and its impact on model performance in production
- A strong understanding of data preparation and calculations at all stages of the ML pipeline
Why join us
- 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.
Final benefits may vary depending on the location.
About inDrive
inDrive is a global tech company on a mission to challenge injustice. We started in 2012 in the coldest city on Earth, when a group of friends created a way for people to agree on fair ride prices. That idea grew into one of the world’s top ride-hailing apps, now with 360M installs across 48 countries.
Today, we offer more than rides: from freight and delivery to intercity travel and financial services, all designed to put people first. Our goal is to positively impact 1 billion lives by 2030. Through inVision, our non-profit arm, we support education, entrepreneurship, and equality in underserved communities.
Ready to ignite your inner drive?
Our Hiring Process
Stage 1:
Applied
Stage 2:
Offer
Stage 3:
Hired
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