Applied Computer Vision Engineer Data Driven Development
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Job Location:
Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description
As an Applied Computer Vision Engineer focused on Data Driven Development you will be a critical part of our feature team responsible for building and scaling the infrastructure that powers our advanced perception systems.
You will architect and implement the robust data pipelines and cloud-native workflows that enable the development training and evaluation of next-generation computer vision models.
This role is ideal for an engineer passionate about data systems MLOps and enabling large-scale machine learning.
Responsibilities
Design implement and maintain scalable data pipelines and cloud-based workflows for computer vision applications.
Architect efficient database schemas queries and end-to-end data pipelines to support large-scale data operations.
Develop and scale Azure-based data pipelines to manage high-throughput workloads including the processing versioning and management of millions of images.
Build automate and manage robust training and evaluation pipelines using frameworks like PyTorch and TensorFlow.
Integrate ML pipelines seamlessly with cloud storage and compute services particularly Azure Blob Storage and Azure ML Compute.
Analyze existing models and data workflows to identify and implement performance improvements and optimizations.
Implement best practices for data quality monitoring and infrastructure-as-code. Document system architecture data flows and operational procedures.
Required Qualifications
Education: Bachelors degree in Computer Science Electrical Engineering or a related field.
Experience: 2-4 years of professional experience in data engineering MLOps or a similar role supporting machine learning workflows.
Core Skills:
Proven experience designing and implementing scalable data pipelines and cloud-based workflows.
Strong proficiency with cloud platforms specifically Azure (AzureML Azure Blob Storage Azure ML Compute).
Hands-on experience with data processing and orchestration tools such as Databricks or Ray.
Proficiency in containerization technologies especially Docker. Experience building or maintaining training/evaluation pipelines using PyTorch or TensorFlow. Experience with or exploration of data visualization and analysis tools (e.g. Voxel).
Programming: Proficiency in Python and a strong understanding of object-oriented programming.
Tools: Familiarity with essential software development tools like Git and working in a Linux environment.
Prior experience in the ADAS autonomous driving or robotics domains. Experience with other cloud platforms (e.g. AWS GCP). Knowledge of model optimization and deployment (e.g. TensorRT ONNX).
Hands-on experience with C is beneficial.
Qualifications :
Additional Qualifications Masters degree in a relevant field.
Additional Information :
Exp- 2-4 years
Prior experience in the ADAS autonomous driving or robotics domains. Experience with other cloud platforms (e.g. AWS GCP). Knowledge of model optimization and deployment (e.g. TensorRT ONNX).
Hands-on experience with C is beneficial.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more
