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 2400 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 qualityarchitecture 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
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 2400 tech-savvy professionals across 40 countries working on impactful projects for industry leaders and Fortune 500 companies. Our expertis...
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 2400 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 qualityarchitecture 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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