Middle ML Data Engineer (#4403)

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 intoexisting architecture.
• Under the guidance of a principal engineer, take ownership of all ML ops anddata engineering deliverables for an assigned project.
• Support the deployment of models into production environments (batch and/orreal-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.
• 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
• 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
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing

Project: Digital asset operations platform

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