Middle Strong/Senior ML Data Engineer

N-iX is one of Ukraine’s fastest-growing and most recognized tech companies, partnering with global industry leaders and Fortune 500 clients. With major development centers in Lviv, Kyiv, Ivano-Frankivsk, and growing hubs across the country, we unite 2,400+ talented professionals globally. Enjoy flexible working formats, vibrant professional communities, extensive growth opportunities, and a supportive culture that has earned recognition from DOU and EY as a top IT employer in Ukraine.

N-iX is looking for a Data Engineer with MLOps experience to join our team.

Responsibilities:

Work with data scientists to design scalable ML pipelines that integrate into existing architecture.
Under the guidance of a principal engineer, take ownership of all ML ops and data engineering deliverables for an assigned project.
Support the deployment of models into production environments (batch and/or real-time), including containerization, inference orchestration, and integration with relevant tools and services.
Build internal tools (e.g., Streamlit apps) to showcase ML outputs.
Display continual curiosity to drive innovation.
Collaborate with platform teams to adopt and extend data ingestion framework
Adopt and contribute to company wide best practices around coding quality, architecture, and code reviews.

Requirements

Essential:

Experience designing and implementing large scale cost effective production workflows within AWS (lambda, kafka, kinesis, EKS, step functions)
Experience working with data scientists to transition notebooks (Databricks, Sagemaker) into production code.
Cost management
Python
DevOps (CloudWatch, CI/CD pipelines, IaC)
Pipeline Orchestration, ideally Airflow.

Nice to have:

MLFlow
DBT
Frontend Experience
Spark / Pyspark

We offer*:

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits
not applicable for freelancers

Middle Strong/Senior ML Data Engineer

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