Position Details
About this role
This role involves developing scalable AI and machine learning solutions for vehicle data analysis in a cloud environment, focusing on prognostics and intelligent automation.
Key Responsibilities
- Prototype AI systems
- Lead analysis of telemetry data
- Apply statistical methods and anomaly detection
- Build scalable ML pipelines
- Create data visualizations
Technical Overview
The technical scope includes AI/ML model development, cloud-native deployment, data analytics, telemetry data processing, and MLOps practices using tools like Docker, Kubernetes, FastAPI, and MLFlow.
Ideal Candidate
The ideal candidate is a senior data scientist or software engineer with extensive experience in AI and machine learning, particularly in cloud environments. They should have a strong background in developing scalable AI solutions, working with telemetry data, and deploying ML pipelines using tools like Docker, Kubernetes, and MLFlow.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud-native AI/ML pipelines, No experience with Docker or Kubernetes, No background in telemetry or vehicle data, Lack of senior-level software engineering experience
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