Senior Staff Machine Learning Engineer
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About the role
Netradyne builds fleet safety solutions using computer vision and edge computing for the transportation industry. You will architect large-scale cloud machine learning systems, deploy models and data platforms, and set technical standards across teams.
What you'll do
- Architect cloud ML systems from data ingestion through model serving and retraining
- Build and deploy scalable solutions using generative AI, machine learning and data pipelines
- Design reliable distributed services and data platforms with observability and cost controls
- Develop frameworks to automate data mining, labeling, training and validation
- Set engineering standards and mentor Staff and Senior engineers
- Create ROI models and audit KPIs for data science initiatives
Skills
Must have
- Machine learning
- Deep learning
- Python
- Distributed systems
- ETL
- SQL
- Statistics
- Large language models
- Cloud ML systems
- Microservice design
Nice to have
- Agentic AI
- Retrieval-augmented generation
- Terraform
- Kubernetes
- Kafka
- Grpc
- MLOPS
- Test-driven development
Who it's for
- Education
- Engineering degree
- Degree
- data science, computer science, electrical engineering, operations research, statistics, mathematics
- Experience
- 8+ years
- Domain
- fleet safety
About Netradyne
Netradyne has 17 open roles in Bangalore, at Netradyne Bengaluru R&D office. See every Netradyne role.
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