Informacje o stanowisku

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.

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

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.

,[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: Python, AWS, Databricks, ML, dbt, Spark Tools: Agile, Scrum. Additionally: Flexible working hours and remote work possibility, Training budget, International projects, referal program, Tech community, Free coffee, Kitchen, Modern office.

Praca Gdynia

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