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Middle Strong/Senior ML Data Engineer

icon building Company : N-ix
icon briefcase Job Type : Full Time

Job Description - 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


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