Middle ML Data Engineer

Data Engineer With MLOps Experience

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