Mid-Senior ML Engineer

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🕒 April 26

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Suntech Innovation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🤝 B2B

🏢 Enterprise

B2B • Enterprise

Suntech Innovation is a Kyiv-based software development and infrastructure engineering firm that provides customized software solutions, R&D and product development, and manual and automated QA. The company offers front-end and back-end development services focused on building robust, available systems and reducing technical risk across the software development lifecycle, while fostering an open, growth-oriented workplace culture.

📋 Description

• You'll build and operate the data pipelines that power our AI systems — streaming, near-real-time, and batch. • You'll work with high-volume structured and unstructured data on platforms like Spark and Databricks, building the infrastructure that connects raw data to production models across personalization, fraud, and GenAI use cases. • Build and maintain ML inference and feature engineering pipelines on Databricks • Develop feature pipelines — transformations, aggregations, time-based features at scale using PySpark • Deploy and manage models in production — versioning, registry, serving (MLflow) • Build batch inference jobs that generate predictions at scale • Integrate ML outputs with streaming infrastructure (Kafka) for downstream consumption • Optimize SQL queries across multiple engines (Databricks SQL, PostgreSQL) • Monitor data quality, pipeline reliability, and model serving health • Collaborate with ML scientists to productionize their research

🎯 Requirements

• 3+ years of professional Python development in a data or ML engineering context • Strong PySpark experience — writing, debugging, and optimizing Spark jobs in production • Hands-on experience with Databricks or similar managed Spark platform (EMR, Dataproc) • Production experience with Kafka or equivalent streaming platform • Solid SQL skills across multiple database engines • Familiarity with ML model deployment and serving (MLflow, SageMaker, or equivalent) • Familiarity with Kubernetes • Understanding of feature engineering patterns and data pipeline design • Strong analytical thinking and data intuition • Nice to have Exposure to recommendation systems or personalization platforms • Experience with pipeline orchestration (Databricks Asset Bundles, Airflow, or similar) • Familiarity with columnar processing libraries (Polars, pandas) • Experience with ML observability — model performance monitoring, data drift detection, pipeline alerting • iGaming domain experience

🏖️ Benefits

• Work in a technically strong environment with modern stack and mature Agile culture; • High autonomy, decision-making authority, and close cooperation with leadership; • A position in a product development company with a dynamic environment and several concurrent projects; • Opportunity to contribute (your ideas for improvement implementation); • Continuous self-improvement and growth, including budget for certifications and courses; • Competitive salary plus financial bonuses for performers; • Company prepaid AI agent; • Medical insurance coverage; • English language courses; • Wellbeing package: online-yoga classes, Yakaboo, BetterMe App: Health Coaching, BetterMe App: Mental Health; • Corporate events and fun team-building activities; • Remote-first culture.