Middle ML Data Engineer

1 tydzień temu

Warszawa, Mazovia, Polska N-iX Pełny etat 60 000 zł - 120 000 zł rocznie

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

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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