Middle Strong/Senior ML Data Engineer
N-iXUkraine11 days ago
Full-timeRemote FriendlyInformation Technology, Engineering
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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:
Essential:
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.
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.
- MLFlow
- DBT
- Frontend Experience
- Spark / Pyspark
- 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
Key Skills
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