Senior ML Engineer

We successfully deliver an all-in-one tool - Synerise (YouTube link). An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. However, we don't limit ourselves solely to this solution. We're building BaseModel (website link) - a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world.

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Having such great solutions, we are looking for a highly motivated Senior ML Engineer to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients.

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What will you do on a daily basis?

• ‍Implement new functionalities for a software that will be used in ML training and inference pipelines.
• Develop software with a core focus on reliability and performance.
• Translate complex functional and technical requirements into detailed design.
• Collaborate with data scientist.
• Creating tools for automating manual processes.

What will make us a perfect match?

• Strong fundamentals in software engineering: Data Structures, Algorithms.
• Programming skills in Python (advanced).
• Experience in Java or Scala (at least willing to learn Scala).
• Experience with SQL databases.
• Excellent troubleshooting and debugging skills.
• High care of user experience.
• Being open to learn and understand ML/deep learning concepts.

What will convince us even more?

• Experience in Rust.
• Experience with Docker/Kubernetes.
• Knowledge of distributed message queue (Kafka).
• Knowledge of distributed databases (Scylla, Clickhouse).
• Experience in writing low-level, highly optimized code.

What can we provide for you?

• An opportunity to work with cutting-edge technology and AI-driven projects.
• A chance to take part in building strategic and ambitious Big Data-related products used by top international clients from various fields.
• Competitive salary appropriate to your skills and knowledge.
• Freedom to act.
• Flat structure with ownership opportunities.
• Co-financed private medical care and sports card.