Senior ML Ops Engineer AWS
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Job Location:
Monthly Salary:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description
We are seeking a skilled Software Engineer with expertise in AWS cloud technologies to design develop and deploy scalable applications using core AWS services. Familiarity with computer vision/deep learning is a plus and will enhance your ability to contribute to cutting edge projects in Automated Driving technologies.
Key Responsibilities:
Design develop and maintain scalable high-performance applications using AWS services such as EC2 S3 Lambda RDS DynamoDB Batch and ECS/EKS.
Monitor and optimize application performance using AWS tools like CloudWatch X-Ray.
Integrate microservices RESTful APIs and serverless architectures into applications.
Collaborate with product managers and DevOps engineers to deliver end-to-end solutions.
Required Skills and Qualifications:
Bachelors degree in Computer Science Engineering or a related field (or equivalent experience).
5 years of experience as a Software Engineer
Strong proficiency in AWS core services (e.g. EC2 S3 Lambda step functions RDS DynamoDB Batch CloudFormation).
Experience with programming languages such as Python Java
Knowledge of cloud architecture principles microservices and serverless computing.
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes or ECS.
Understanding of security best practices for cloud-based applications (IAM VPC).
Experience with CI/CD tools and version control systems (e.g. Git AWS CodePipeline).
Strong problem-solving skills and ability to work in a fast-paced collaborative environment.
Excellent communication and teamwork skills.
Nice-to-Have Skills:
Knowledge of machine learning pipelines and integrating computer vision models into production environments
Required Experience:
Manager
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
