N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.
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
Top Skills
Airflow
AWS
Ci/Cd
Cloudwatch
Databricks
Dbt
Eks
Iac
Kafka
Kinesis
Mlflow
Pyspark
Python
Sagemaker
Spark
Step Functions
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